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<title>Replication Material: Why the Core of the AfD’s Support Will Not Shift to the BSW: Explaining the Persistence of Far-Right Support in Thuringia, 2024</title>

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) 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}
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font-family: 'Lato';
font-style: normal;
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tAAn/zAAtAA//zgAtABH/zgAtABL/zAAtACT/zAAtAIL/zAAtAIP/zAAtAIT/zAAtAIX/zAAtAIb/zAAtAIf/zAAtAIj/zAAtAMz/zgAtAM//zgAuABD/vgAuACP/4gAuACb/4gAuACr/4gAuADL/4gAuADT/4gAuAEb/1QAuAEf/1QAuAEj/1QAuAEn/yAAuAFL/1QAuAFT/1QAuAFf/pQAuAFn/twAuAFr/zAAuAFz/twAuAGv/4gAuAG3/vgAuAG//vgAuAHD/4gAuAHn/vgAuAH3/vgAuAIn/4gAuAJT/4gAuAJX/4gAuAJb/4gAuAJf/4gAuAJj/4gAuAJr/4gAuAKn/1QAuAKr/1QAuAKv/1QAuAKz/1QAuAK3/1QAuALL/1QAuALT/1QAuALX/1QAuALb/1QAuALf/1QAuALj/1QAuALr/1QAuAL//twAuAMH/twAuAMP/4gAuAMT/1QAuAMj/vgAuAMn/vgAuAND/vgAuANH/vgAuANL/vgAvAAX+5AAvAAr+5AAvAA3+5AAvAA8AOgAvABD/TgAvABEAOgAvACL/zgAvACP/sAAvACb/sAAvACr/sAAvADL/sAAvADT/sAAvADf/UAAvADn/QQAvADr/WQAvADz/HQAvAD//QQAvAEb/2gAvAEf/2gAvAEj/2gAvAFL/2gAvAFT/2gAvAFn/iQAvAFr/sAAvAFz/iQAvAGv/sAAvAGz+5AAvAG3/TgAvAG//TgAvAHD/sAAvAHL+5AAvAHT/LQAvAHX/LQAvAHn/TgAvAHv/LQAvAHz+5AAvAH3/TgAvAIn/sAAvAJT/sAAvAJX/sAAvAJb/sAAvAJf/sAAvAJj/sAAvAJr/sAAvAJ//HQAvAKn/2gAvAKr/2gAvAKv/2gAvAKz/2gAvAK3/2gAvALL/2gAvALT/2gAvALX/2gAvALb/2gAvALf/2gAvALj/2gAvALr/2gAvAL//iQAvAMH/iQAvAMP/sAAvAMT/2gAvAMj/TgAvAMn/TgAvAMr+5AAvAMv+5AAvAMwAOgAvAM3+5AAvAM7+5AAvAM8AOgAvAND/TgAvANH/TgAvANL/TgAyAAX/1gAyAAn/zQAyAAr/1gAyAAz/2AAyAA3/1gAyAA//zAAyABH/zAAyABL/zQAyACT/zQAyADf/sgAyADn/yAAyADv/4gAyADz/sAAyAD3/wAAyAD//yAAyAED/2AAyAGD/2AAyAGz/1gAyAHL/1gAyAHz/1gAyAIL/zQAyAIP/zQAyAIT/zQAyAIX/zQAyAIb/zQAyAIf/zQAyAIj/zQAyAJ//sAAyAMr/1gAyAMv/1gAyAMz/zAAyAM3/1gAyAM7/1gAyAM//zAAzAAn/ZQAzAA/+9wAzABH+9wAzABL/ZQAzACT/ZQAzAC3/QQAzAET/zgAzAEb/4gAzAEf/4gAzAEj/4gAzAFL/4gAzAFT/4gAzAIL/ZQAzAIP/ZQAzAIT/ZQAzAIX/ZQAzAIb/ZQAzAIf/ZQAzAIj/ZQAzAKL/zgAzAKP/zgAzAKT/zgAzAKX/zgAzAKb/zgAzAKf/zgAzAKj/zgAzAKn/4gAzAKr/4gAzAKv/4gAzAKz/4gAzAK3/4gAzALL/4gAzALT/4gAzALX/4gAzALb/4gAzALf/4gAzALj/4gAzALr/4gAzAMT/4gAzAMz+9wAzAM/+9wA0AAX/1gA0AAn/zQA0AAr/1gA0AAz/2AA0AA3/1gA0AA//zAA0ABH/zAA0ABL/zQA0ACT/zQA0ADf/sgA0ADn/yAA0ADv/4gA0ADz/sAA0AD3/wAA0AD//yAA0AED/2AA0AGD/2AA0AGz/1gA0AHL/1gA0AHz/1gA0AIL/zQA0AIP/zQA0AIT/zQA0AIX/zQA0AIb/zQA0AIf/zQA0AIj/zQA0AJ//sAA0AMr/1gA0AMv/1gA0AMz/zAA0AM3/1gA0AM7/1gA0AM//zAA1ACP/0AA1ACb/0AA1ACr/0AA1ADL/0AA1ADT/0AA1ADf/yAA1ADj/zQA1AGv/0AA1AHD/0AA1AIn/0AA1AJT/0AA1AJX/0AA1AJb/0AA1AJf/0AA1AJj/0AA1AJr/0AA1AJv/zQA1AJz/zQA1AJ3/zQA1AJ7/zQA1AMP/0AA3AAn/bQA3AA//TAA3ABD/TAA3ABH/TAA3ABL/bQA3AB3/YAA3AB7/YAA3ACP/sgA3ACT/bQA3ACb/sgA3ACr/sgA3AC3/OAA3ADL/sgA3ADT/sgA3AET/DAA3AEb/NAA3AEf/NAA3AEj/NAA3AEr/SwA3AFD/YAA3AFH/YAA3AFL/NAA3AFP/YAA3AFT/NAA3AFX/YAA3AFb/dAA3AFj/YAA3AFn/TAA3AFr/dAA3AFv/dwA3AFz/TAA3AF3/iAA3AGv/sgA3AG3/TAA3AG//TAA3AHD/sgA3AHf/YAA3AHn/TAA3AH3/TAA3AIL/bQA3AIP/bQA3AIT/bQA3AIX/bQA3AIb/bQA3AIf/bQA3AIj/bQA3AIn/sgA3AJT/sgA3AJX/sgA3AJb/sgA3AJf/sgA3AJj/sgA3AJr/sgA3AKL/DAA3AKP/DAA3AKT/DAA3AKX/DAA3AKb/DAA3AKf/DAA3AKj/DAA3AKn/NAA3AKr/NAA3AKv/NAA3AKz/NAA3AK3/NAA3ALL/NAA3ALP/YAA3ALT/NAA3ALX/NAA3ALb/NAA3ALf/NAA3ALj/NAA3ALr/NAA3ALv/YAA3ALz/YAA3AL3/YAA3AL7/YAA3AL//TAA3AMH/TAA3AML/YAA3AMP/sgA3AMT/NAA3AMj/TAA3AMn/TAA3AMz/TAA3AM//TAA3AND/TAA3ANH/TAA3ANL/TAA4AAn/zAA4AA//zgA4ABH/zgA4ABL/zAA4ACT/zAA4AIL/zAA4AIP/zAA4AIT/zAA4AIX/zAA4AIb/zAA4AIf/zAA4AIj/zAA4AMz/zgA4AM//zgA5AAUALAA5AAn/VwA5AAoALAA5AA0ALAA5AA//PAA5ABD/jAA5ABH/PAA5ABL/VwA5AB3/nQA5AB7/nQA5ACIAJwA5ACP/yAA5ACT/VwA5ACb/yAA5ACr/yAA5AC3/ZAA5ADL/yAA5ADT/yAA5AET/hQA5AEb/hQA5AEf/hQA5AEj/hQA5AEn/4gA5AEr/dgA5AFD/nQA5AFH/nQA5AFL/hQA5AFP/nQA5AFT/hQA5AFX/nQA5AFb/lAA5AFf/0gA5AFj/nQA5AFn/xQA5AFv/vQA5AFz/xQA5AF3/pQA5AGv/yAA5AGwALAA5AG3/jAA5AG//jAA5AHD/yAA5AHIALAA5AHQAMQA5AHUAMQA5AHf/nQA5AHn/jAA5AHsAMQA5AHwALAA5AH3/jAA5AIL/VwA5AIP/VwA5AIT/VwA5AIX/VwA5AIb/VwA5AIf/VwA5AIj/VwA5AIn/yAA5AJT/yAA5AJX/yAA5AJb/yAA5AJf/yAA5AJj/yAA5AJr/yAA5AKL/hQA5AKP/hQA5AKT/hQA5AKX/hQA5AKb/hQA5AKf/hQA5AKj/hQA5AKn/hQA5AKr/hQA5AKv/hQA5AKz/hQA5AK3/hQA5ALL/hQA5ALP/nQA5ALT/hQA5ALX/hQA5ALb/hQA5ALf/hQA5ALj/hQA5ALr/hQA5ALv/nQA5ALz/nQA5AL3/nQA5AL7/nQA5AL//xQA5AMH/xQA5AML/nQA5AMP/yAA5AMT/hQA5AMj/jAA5AMn/jAA5AMoALAA5AMsALAA5AMz/PAA5AM0ALAA5AM4ALAA5AM//PAA5AND/jAA5ANH/jAA5ANL/jAA6AAUALAA6AAn/igA6AAoALAA6AA0ALAA6AA//fQA6ABD/3AA6ABH/fQA6ABL/igA6ACIAIAA6ACT/igA6AC3/kQA6AET/nQA6AEb/1wA6AEf/1wA6AEj/1wA6AEr/oAA6AFL/1wA6AFT/1wA6AFb/ywA6AGwALAA6AG3/3AA6AG//3AA6AHIALAA6AHQALAA6AHUALAA6AHn/3AA6AHsALAA6AHwALAA6AH3/3AA6AIL/igA6AIP/igA6AIT/igA6AIX/igA6AIb/igA6AIf/igA6AIj/igA6AKL/nQA6AKP/nQA6AKT/nQA6AKX/nQA6AKb/nQA6AKf/nQA6AKj/nQA6AKn/1wA6AKr/1wA6AKv/1wA6AKz/1wA6AK3/1wA6ALL/1wA6ALT/1wA6ALX/1wA6ALb/1wA6ALf/1wA6ALj/1wA6ALr/1wA6AMT/1wA6AMj/3AA6AMn/3AA6AMoALAA6AMsALAA6AMz/fQA6AM0ALAA6AM4ALAA6AM//fQA6AND/3AA6ANH/3AA6ANL/3AA7ABD/vgA7ACP/4gA7ACb/4gA7ACr/4gA7ADL/4gA7ADT/4gA7AEb/1QA7AEf/1QA7AEj/1QA7AEn/yAA7AFL/1QA7AFT/1QA7AFf/pQA7AFn/twA7AFr/zAA7AFz/twA7AGv/4gA7AG3/vgA7AG//vgA7AHD/4gA7AHn/vgA7AH3/vgA7AIn/4gA7AJT/4gA7AJX/4gA7AJb/4gA7AJf/4gA7AJj/4gA7AJr/4gA7AKn/1QA7AKr/1QA7AKv/1QA7AKz/1QA7AK3/1QA7ALL/1QA7ALT/1QA7ALX/1QA7ALb/1QA7ALf/1QA7ALj/1QA7ALr/1QA7AL//twA7AMH/twA7AMP/4gA7AMT/1QA7AMj/vgA7AMn/vgA7AND/vgA7ANH/vgA7ANL/vgA8AAUAJAA8AAn/SgA8AAoAJAA8AA0AJAA8AA//WQA8ABD/YAA8ABH/WQA8ABL/SgA8AB3/fQA8AB7/fQA8ACIAIAA8ACP/sAA8ACT/SgA8ACb/sAA8ACr/sAA8AC3/OAA8ADL/sAA8ADT/sAA8AET/bwA8AEb/YAA8AEf/YAA8AEj/YAA8AEr/UAA8AFD/fQA8AFH/fQA8AFL/YAA8AFP/fQA8AFT/YAA8AFX/fQA8AFb/dQA8AFj/fQA8AFn/nAA8AFr/oAA8AFv/eAA8AFz/nAA8AGv/sAA8AGwAJAA8AG3/YAA8AG//YAA8AHD/sAA8AHIAJAA8AHQAOAA8AHUAOAA8AHf/fQA8AHn/YAA8AHsAOAA8AHwAJAA8AH3/YAA8AIL/SgA8AIP/SgA8AIT/SgA8AIX/SgA8AIb/SgA8AIf/SgA8AIj/SgA8AIn/sAA8AJT/sAA8AJX/sAA8AJb/sAA8AJf/sAA8AJj/sAA8AJr/sAA8AKL/bwA8AKP/bwA8AKT/bwA8AKX/bwA8AKb/bwA8AKf/bwA8AKj/bwA8AKn/YAA8AKr/YAA8AKv/YAA8AKz/YAA8AK3/YAA8ALL/YAA8ALP/fQA8ALT/YAA8ALX/YAA8ALb/YAA8ALf/YAA8ALj/YAA8ALr/YAA8ALv/fQA8ALz/fQA8AL3/fQA8AL7/fQA8AL//nAA8AMH/nAA8AML/fQA8AMP/sAA8AMT/YAA8AMj/YAA8AMn/YAA8AMoAJAA8AMsAJAA8AMz/WQA8AM0AJAA8AM4AJAA8AM//WQA8AND/YAA8ANH/YAA8ANL/YAA9ABD/wAA9ACIAIAA9ACP/zwA9ACb/zwA9ACr/zwA9ADL/zwA9ADT/zwA9AEb/4wA9AEf/4wA9AEj/4wA9AFL/4wA9AFT/4wA9AFb/7QA9AFn/3gA9AFz/3gA9AGv/zwA9AG3/wAA9AG//wAA9AHD/zwA9AHn/wAA9AH3/wAA9AIn/zwA9AJT/zwA9AJX/zwA9AJb/zwA9AJf/zwA9AJj/zwA9AJr/zwA9AKn/4wA9AKr/4wA9AKv/4wA9AKz/4wA9AK3/4wA9ALL/4wA9ALT/4wA9ALX/4wA9ALb/4wA9ALf/4wA9ALj/4wA9ALr/4wA9AL//3gA9AMH/3gA9AMP/zwA9AMT/4wA9AMj/wAA9AMn/wAA9AND/wAA9ANH/wAA9ANL/wAA+ACP/2AA+ACb/2AA+ACr/2AA+ADL/2AA+ADT/2AA+AEb/3AA+AEf/3AA+AEj/3AA+AFL/3AA+AFT/3AA+AGv/2AA+AHD/2AA+AIn/2AA+AJT/2AA+AJX/2AA+AJb/2AA+AJf/2AA+AJj/2AA+AJr/2AA+AKn/3AA+AKr/3AA+AKv/3AA+AKz/3AA+AK3/3AA+ALL/3AA+ALT/3AA+ALX/3AA+ALb/3AA+ALf/3AA+ALj/3AA+ALr/3AA+AMP/2AA+AMT/3AA/AAX/QQA/AAr/QQA/AA3/QQA/ABD/vQA/ACL/wQA/ACP/zQA/ACb/zQA/ACr/zQA/AC0AOAA/ADL/zQA/ADT/zQA/ADf/bQA/ADj/zAA/ADn/VwA/ADr/mgA/ADz/SgA/AD//VwA/AFn/pQA/AFz/pQA/AGv/zQA/AGz/QQA/AG3/vQA/AG//vQA/AHD/zQA/AHL/QQA/AHT/NgA/AHX/NgA/AHn/vQA/AHv/NgA/AHz/QQA/AH3/vQA/AIn/zQA/AJT/zQA/AJX/zQA/AJb/zQA/AJf/zQA/AJj/zQA/AJr/zQA/AJv/zAA/AJz/zAA/AJ3/zAA/AJ7/zAA/AJ//SgA/AL//pQA/AMH/pQA/AMP/zQA/AMj/vQA/AMn/vQA/AMr/QQA/AMv/QQA/AM3/QQA/AM7/QQA/AND/vQA/ANH/vQA/ANL/vQBEAAX/tABEAAr/tABEAA3/tABEAFn/3ABEAFr/7gBEAFz/3ABEAGz/tABEAHL/tABEAHT/tABEAHX/tABEAHv/tABEAHz/tABEAL//3ABEAMH/3ABEAMr/tABEAMv/tABEAM3/tABEAM7/tABFAAX/oABFAAr/oABFAAz/3ABFAA3/oABFADn/hQBFADr/1wBFAD//hQBFAED/3ABFAFn/3wBFAFv/xABFAFz/3wBFAGD/3ABFAGz/oABFAHL/oABFAHz/oABFAL//3wBFAMH/3wBFAMr/oABFAMv/oABFAM3/oABFAM7/oABIAAX/oABIAAr/oABIAAz/3ABIAA3/oABIADn/hQBIADr/1wBIAD//hQBIAED/3ABIAFn/3wBIAFv/xABIAFz/3wBIAGD/3ABIAGz/oABIAHL/oABIAHz/oABIAL//3wBIAMH/3wBIAMr/oABIAMv/oABIAM3/oABIAM7/oABJAAUAQABJAAoAQABJAA0AQABJAA//hABJABH/hABJAGwAQABJAHIAQABJAHQAZABJAHUAZABJAHsAZABJAHwAQABJAMoAQABJAMsAQABJAMz/hABJAM0AQABJAM4AQABJAM//hABLAAX/tABLAAr/tABLAA3/tABLAFn/3ABLAFr/7gBLAFz/3ABLAGz/tABLAHL/tABLAHT/tABLAHX/tABLAHv/tABLAHz/tABLAL//3ABLAMH/3ABLAMr/tABLAMv/tABLAM3/tABLAM7/tABOAEb/xABOAEf/xABOAEj/xABOAFL/xABOAFT/xABOAKn/xABOAKr/xABOAKv/xABOAKz/xABOAK3/xABOALL/xABOALT/xABOALX/xABOALb/xABOALf/xABOALj/xABOALr/xABOAMT/xABQAAX/tABQAAr/tABQAA3/tABQAFn/3ABQAFr/7gBQAFz/3ABQAGz/tABQAHL/tABQAHT/tABQAHX/tABQAHv/tABQAHz/tABQAL//3ABQAMH/3ABQAMr/tABQAMv/tABQAM3/tABQAM7/tABRAAX/tABRAAr/tABRAA3/tABRAFn/3ABRAFr/7gBRAFz/3ABRAGz/tABRAHL/tABRAHT/tABRAHX/tABRAHv/tABRAHz/tABRAL//3ABRAMH/3ABRAMr/tABRAMv/tABRAM3/tABRAM7/tABSAAX/oABSAAr/oABSAAz/3ABSAA3/oABSADn/hQBSADr/1wBSAD//hQBSAED/3ABSAFn/3wBSAFv/xABSAFz/3wBSAGD/3ABSAGz/oABSAHL/oABSAHz/oABSAL//3wBSAMH/3wBSAMr/oABSAMv/oABSAM3/oABSAM7/oABTAAX/oABTAAr/oABTAAz/3ABTAA3/oABTADn/hQBTADr/1wBTAD//hQBTAED/3ABTAFn/3wBTAFv/xABTAFz/3wBTAGD/3ABTAGz/oABTAHL/oABTAHz/oABTAL//3wBTAMH/3wBTAMr/oABTAMv/oABTAM3/oABTAM7/oABVAA//eABVABH/eABVAET/4wBVAKL/4wBVAKP/4wBVAKT/4wBVAKX/4wBVAKb/4wBVAKf/4wBVAKj/4wBVAMz/eABVAM//eABZAAn/pQBZAA//eABZABH/eABZABL/pQBZACT/pQBZAEb/3wBZAEf/3wBZAEj/3wBZAFL/3wBZAFT/3wBZAIL/pQBZAIP/pQBZAIT/pQBZAIX/pQBZAIb/pQBZAIf/pQBZAIj/pQBZAKn/3wBZAKr/3wBZAKv/3wBZAKz/3wBZAK3/3wBZALL/3wBZALT/3wBZALX/3wBZALb/3wBZALf/3wBZALj/3wBZALr/3wBZAMT/3wBZAMz/eABZAM//eABaAA//uQBaABH/uQBaAMz/uQBaAM//uQBbAEb/xABbAEf/xABbAEj/xABbAFL/xABbAFT/xABbAKn/xABbAKr/xABbAKv/xABbAKz/xABbAK3/xABbALL/xABbALT/xABbALX/xABbALb/xABbALf/xABbALj/xABbALr/xABbAMT/xABcAAn/pQBcAA//eABcABH/eABcABL/pQBcACT/pQBcAEb/3wBcAEf/3wBcAEj/3wBcAFL/3wBcAFT/3wBcAIL/pQBcAIP/pQBcAIT/pQBcAIX/pQBcAIb/pQBcAIf/pQBcAIj/pQBcAKn/3wBcAKr/3wBcAKv/3wBcAKz/3wBcAK3/3wBcALL/3wBcALT/3wBcALX/3wBcALb/3wBcALf/3wBcALj/3wBcALr/3wBcAMT/3wBcAMz/eABcAM//eABeACP/2ABeACb/2ABeACr/2ABeADL/2ABeADT/2ABeAEb/3ABeAEf/3ABeAEj/3ABeAFL/3ABeAFT/3ABeAGv/2ABeAHD/2ABeAIn/2ABeAJT/2ABeAJX/2ABeAJb/2ABeAJf/2ABeAJj/2ABeAJr/2ABeAKn/3ABeAKr/3ABeAKv/3ABeAKz/3ABeAK3/3ABeALL/3ABeALT/3ABeALX/3ABeALb/3ABeALf/3ABeALj/3ABeALr/3ABeAMP/2ABeAMT/3ABrAAX/1gBrAAn/zQBrAAr/1gBrAAz/2ABrAA3/1gBrAA//zABrABH/zABrABL/zQBrACT/zQBrADf/sgBrADn/yABrADv/4gBrADz/sABrAD3/wABrAD//yABrAED/2ABrAGD/2ABrAGz/1gBrAHL/1gBrAHz/1gBrAIL/zQBrAIP/zQBrAIT/zQBrAIX/zQBrAIb/zQBrAIf/zQBrAIj/zQBrAJ//sABrAMr/1gBrAMv/1gBrAMz/zABrAM3/1gBrAM7/1gBrAM//zABsAAn/QQBsAA//KwBsABD/VwBsABH/KwBsABL/QQBsACP/1gBsACT/QQBsACb/1gBsACr/1gBsADL/1gBsADT/1gBsADkALABsADoALABsADwAJABsAD8ALABsAET/vgBsAEb/oABsAEf/oABsAEj/oABsAFL/oABsAFT/oABsAGv/1gBsAG3/VwBsAG//VwBsAHD/1gBsAHn/VwBsAH3/VwBsAIL/QQBsAIP/QQBsAIT/QQBsAIX/QQBsAIb/QQBsAIf/QQBsAIj/QQBsAIn/1gBsAJT/1gBsAJX/1gBsAJb/1gBsAJf/1gBsAJj/1gBsAJr/1gBsAJ8AJABsAKL/vgBsAKP/vgBsAKT/vgBsAKX/vgBsAKb/vgBsAKf/vgBsAKj/vgBsAKn/oABsAKr/oABsAKv/oABsAKz/oABsAK3/oABsALL/oABsALT/oABsALX/oABsALb/oABsALf/oABsALj/oABsALr/oABsAMP/1gBsAMT/oABsAMj/VwBsAMn/VwBsAMz/KwBsAM//KwBsAND/VwBsANH/VwBsANL/VwBtAAX/VwBtAAn/vQBtAAr/VwBtAA3/VwBtAA//fABtABH/fABtABL/vQBtACT/vQBtADf/TABtADn/jABtADr/3ABtADv/vgBtADz/YABtAD3/0ABtAD//jABtAGz/VwBtAHL/VwBtAHz/VwBtAIL/vQBtAIP/vQBtAIT/vQBtAIX/vQBtAIb/vQBtAIf/vQBtAIj/vQBtAJ//YABtAMr/VwBtAMv/VwBtAMz/fABtAM3/VwBtAM7/VwBtAM//fABvAAX/VwBvAAn/vQBvAAr/VwBvAA3/VwBvAA//fABvABH/fABvABL/vQBvACT/vQBvADf/TABvADn/jABvADr/3ABvADv/vgBvADz/YABvAD3/0ABvAD//jABvAGz/VwBvAHL/VwBvAHz/VwBvAIL/vQBvAIP/vQBvAIT/vQBvAIX/vQBvAIb/vQBvAIf/vQBvAIj/vQBvAJ//YABvAMr/VwBvAMv/VwBvAMz/fABvAM3/VwBvAM7/VwBvAM//fABwAAX/1gBwAAn/zQBwAAr/1gBwAAz/2ABwAA3/1gBwAA//zABwABH/zABwABL/zQBwACT/zQBwADf/sgBwADn/yABwADv/4gBwADz/sABwAD3/wABwAD//yABwAED/2ABwAGD/2ABwAGz/1gBwAHL/1gBwAHz/1gBwAIL/zQBwAIP/zQBwAIT/zQBwAIX/zQBwAIb/zQBwAIf/zQBwAIj/zQBwAJ//sABwAMr/1gBwAMv/1gBwAMz/zABwAM3/1gBwAM7/1gBwAM//zAByAAn/QQByAA//KwByABD/VwByABH/KwByABL/QQByACP/1gByACT/QQByACb/1gByACr/1gByADL/1gByADT/1gByADkALAByADoALAByADwAJAByAD8ALAByAET/vgByAEb/oAByAEf/oAByAEj/oAByAFL/oAByAFT/oAByAGv/1gByAG3/VwByAG//VwByAHD/1gByAHn/VwByAH3/VwByAIL/QQByAIP/QQByAIT/QQByAIX/QQByAIb/QQByAIf/QQByAIj/QQByAIn/1gByAJT/1gByAJX/1gByAJb/1gByAJf/1gByAJj/1gByAJr/1gByAJ8AJAByAKL/vgByAKP/vgByAKT/vgByAKX/vgByAKb/vgByAKf/vgByAKj/vgByAKn/oAByAKr/oAByAKv/oAByAKz/oAByAK3/oAByALL/oAByALT/oAByALX/oAByALb/oAByALf/oAByALj/oAByALr/oAByAMP/1gByAMT/oAByAMj/VwByAMn/VwByAMz/KwByAM//KwByAND/VwByANH/VwByANL/VwB0AAn/NgB0ABL/NgB0ACT/NgB0ADkAMQB0ADoAMQB0ADwAKAB0AD8AMQB0AIL/NgB0AIP/NgB0AIT/NgB0AIX/NgB0AIb/NgB0AIf/NgB0AIj/NgB0AJ8AKAB1AAn/NgB1ABL/NgB1ACT/NgB1ADkAMQB1ADoAMQB1ADwAKAB1AD8AMQB1AIL/NgB1AIP/NgB1AIT/NgB1AIX/NgB1AIb/NgB1AIf/NgB1AIj/NgB1AJ8AKAB5AAX/VwB5AAn/vQB5AAr/VwB5AA3/VwB5AA//fAB5ABH/fAB5ABL/vQB5ACT/vQB5ADf/TAB5ADn/jAB5ADr/3AB5ADv/vgB5ADz/YAB5AD3/0AB5AD//jAB5AGz/VwB5AHL/VwB5AHz/VwB5AIL/vQB5AIP/vQB5AIT/vQB5AIX/vQB5AIb/vQB5AIf/vQB5AIj/vQB5AJ//YAB5AMr/VwB5AMv/VwB5AMz/fAB5AM3/VwB5AM7/VwB5AM//fAB7AAn/NgB7ABL/NgB7ACT/NgB7ADkAMQB7ADoAMQB7ADwAKAB7AD8AMQB7AIL/NgB7AIP/NgB7AIT/NgB7AIX/NgB7AIb/NgB7AIf/NgB7AIj/NgB7AJ8AKAB8AAn/QQB8AA//KwB8ABD/VwB8ABH/KwB8ABL/QQB8ACP/1gB8ACT/QQB8ACb/1gB8ACr/1gB8ADL/1gB8ADT/1gB8ADkALAB8ADoALAB8ADwAJAB8AD8ALAB8AET/vgB8AEb/oAB8AEf/oAB8AEj/oAB8AFL/oAB8AFT/oAB8AGv/1gB8AG3/VwB8AG//VwB8AHD/1gB8AHn/VwB8AH3/VwB8AIL/QQB8AIP/QQB8AIT/QQB8AIX/QQB8AIb/QQB8AIf/QQB8AIj/QQB8AIn/1gB8AJT/1gB8AJX/1gB8AJb/1gB8AJf/1gB8AJj/1gB8AJr/1gB8AJ8AJAB8AKL/vgB8AKP/vgB8AKT/vgB8AKX/vgB8AKb/vgB8AKf/vgB8AKj/vgB8AKn/oAB8AKr/oAB8AKv/oAB8AKz/oAB8AK3/oAB8ALL/oAB8ALT/oAB8ALX/oAB8ALb/oAB8ALf/oAB8ALj/oAB8ALr/oAB8AMP/1gB8AMT/oAB8AMj/VwB8AMn/VwB8AMz/KwB8AM//KwB8AND/VwB8ANH/VwB8ANL/VwB9AAX/VwB9AAn/vQB9AAr/VwB9AA3/VwB9AA//fAB9ABH/fAB9ABL/vQB9ACT/vQB9ADf/TAB9ADn/jAB9ADr/3AB9ADv/vgB9ADz/YAB9AD3/0AB9AD//jAB9AGz/VwB9AHL/VwB9AHz/VwB9AIL/vQB9AIP/vQB9AIT/vQB9AIX/vQB9AIb/vQB9AIf/vQB9AIj/vQB9AJ//YAB9AMr/VwB9AMv/VwB9AMz/fAB9AM3/VwB9AM7/VwB9AM//fACCAAX/QQCCAAr/QQCCAA3/QQCCABD/vQCCACL/wQCCACP/zQCCACb/zQCCACr/zQCCAC0AOACCADL/zQCCADT/zQCCADf/bQCCADj/zACCADn/VwCCADr/mgCCADz/SgCCAD//VwCCAFn/pQCCAFz/pQCCAGv/zQCCAGz/QQCCAG3/vQCCAG//vQCCAHD/zQCCAHL/QQCCAHT/NgCCAHX/NgCCAHn/vQCCAHv/NgCCAHz/QQCCAH3/vQCCAIn/zQCCAJT/zQCCAJX/zQCCAJb/zQCCAJf/zQCCAJj/zQCCAJr/zQCCAJv/zACCAJz/zACCAJ3/zACCAJ7/zACCAJ//SgCCAL//pQCCAMH/pQCCAMP/zQCCAMj/vQCCAMn/vQCCAMr/QQCCAMv/QQCCAM3/QQCCAM7/QQCCAND/vQCCANH/vQCCANL/vQCDAAX/QQCDAAr/QQCDAA3/QQCDABD/vQCDACL/wQCDACP/zQCDACb/zQCDACr/zQCDAC0AOACDADL/zQCDADT/zQCDADf/bQCDADj/zACDADn/VwCDADr/mgCDADz/SgCDAD//VwCDAFn/pQCDAFz/pQCDAGv/zQCDAGz/QQCDAG3/vQCDAG//vQCDAHD/zQCDAHL/QQCDAHT/NgCDAHX/NgCDAHn/vQCDAHv/NgCDAHz/QQCDAH3/vQCDAIn/zQCDAJT/zQCDAJX/zQCDAJb/zQCDAJf/zQCDAJj/zQCDAJr/zQCDAJv/zACDAJz/zACDAJ3/zACDAJ7/zACDAJ//SgCDAL//pQCDAMH/pQCDAMP/zQCDAMj/vQCDAMn/vQCDAMr/QQCDAMv/QQCDAM3/QQCDAM7/QQCDAND/vQCDANH/vQCDANL/vQCEAAX/QQCEAAr/QQCEAA3/QQCEABD/vQCEACL/wQCEACP/zQCEACb/zQCEACr/zQCEAC0AOACEADL/zQCEADT/zQCEADf/bQCEADj/zACEADn/VwCEADr/mgCEADz/SgCEAD//VwCEAFn/pQCEAFz/pQCEAGv/zQCEAGz/QQCEAG3/vQCEAG//vQCEAHD/zQCEAHL/QQCEAHT/NgCEAHX/NgCEAHn/vQCEAHv/NgCEAHz/QQCEAH3/vQCEAIn/zQCEAJT/zQCEAJX/zQCEAJb/zQCEAJf/zQCEAJj/zQCEAJr/zQCEAJv/zACEAJz/zACEAJ3/zACEAJ7/zACEAJ//SgCEAL//pQCEAMH/pQCEAMP/zQCEAMj/vQCEAMn/vQCEAMr/QQCEAMv/QQCEAM3/QQCEAM7/QQCEAND/vQCEANH/vQCEANL/vQCFAAX/QQCFAAr/QQCFAA3/QQCFABD/vQCFACL/wQCFACP/zQCFACb/zQCFACr/zQCFAC0AOACFADL/zQCFADT/zQCFADf/bQCFADj/zACFADn/VwCFADr/mgCFADz/SgCFAD//VwCFAFn/pQCFAFz/pQCFAGv/zQCFAGz/QQCFAG3/vQCFAG//vQCFAHD/zQCFAHL/QQCFAHT/NgCFAHX/NgCFAHn/vQCFAHv/NgCFAHz/QQCFAH3/vQCFAIn/zQCFAJT/zQCFAJX/zQCFAJb/zQCFAJf/zQCFAJj/zQCFAJr/zQCFAJv/zACFAJz/zACFAJ3/zACFAJ7/zACFAJ//SgCFAL//pQCFAMH/pQCFAMP/zQCFAMj/vQCFAMn/vQCFAMr/QQCFAMv/QQCFAM3/QQCFAM7/QQCFAND/vQCFANH/vQCFANL/vQCGAAX/QQCGAAr/QQCGAA3/QQCGABD/vQCGACL/wQCGACP/zQCGACb/zQCGACr/zQCGAC0AOACGADL/zQCGADT/zQCGADf/bQCGADj/zACGADn/VwCGADr/mgCGADz/SgCGAD//VwCGAFn/pQCGAFz/pQCGAGv/zQCGAGz/QQCGAG3/vQCGAG//vQCGAHD/zQCGAHL/QQCGAHT/NgCGAHX/NgCGAHn/vQCGAHv/NgCGAHz/QQCGAH3/vQCGAIn/zQCGAJT/zQCGAJX/zQCGAJb/zQCGAJf/zQCGAJj/zQCGAJr/zQCGAJv/zACGAJz/zACGAJ3/zACGAJ7/zACGAJ//SgCGAL//pQCGAMH/pQCGAMP/zQCGAMj/vQCGAMn/vQCGAMr/QQCGAMv/QQCGAM3/QQCGAM7/QQCGAND/vQCGANH/vQCGANL/vQCHAAX/QQCHAAr/QQCHAA3/QQCHABD/vQCHACL/wQCHACP/zQCHACb/zQCHACr/zQCHAC0AOACHADL/zQCHADT/zQCHADf/bQCHADj/zACHADn/VwCHADr/mgCHADz/SgCHAD//VwCHAFn/pQCHAFz/pQCHAGv/zQCHAGz/QQCHAG3/vQCHAG//vQCHAHD/zQCHAHL/QQCHAHT/NgCHAHX/NgCHAHn/vQCHAHv/NgCHAHz/QQCHAH3/vQCHAIn/zQCHAJT/zQCHAJX/zQCHAJb/zQCHAJf/zQCHAJj/zQCHAJr/zQCHAJv/zACHAJz/zACHAJ3/zACHAJ7/zACHAJ//SgCHAL//pQCHAMH/pQCHAMP/zQCHAMj/vQCHAMn/vQCHAMr/QQCHAMv/QQCHAM3/QQCHAM7/QQCHAND/vQCHANH/vQCHANL/vQCJABD/cACJAG3/cACJAG//cACJAHn/cACJAH3/cACJAMj/cACJAMn/cACJAND/cACJANH/cACJANL/cACSAAX/1gCSAAn/zQCSAAr/1gCSAAz/2ACSAA3/1gCSAA//zACSABH/zACSABL/zQCSACT/zQCSADf/sgCSADn/yACSADv/4gCSADz/sACSAD3/wACSAD//yACSAED/2ACSAGD/2ACSAGz/1gCSAHL/1gCSAHz/1gCSAIL/zQCSAIP/zQCSAIT/zQCSAIX/zQCSAIb/zQCSAIf/zQCSAIj/zQCSAJ//sACSAMr/1gCSAMv/1gCSAMz/zACSAM3/1gCSAM7/1gCSAM//zACUAAX/1gCUAAn/zQCUAAr/1gCUAAz/2ACUAA3/1gCUAA//zACUABH/zACUABL/zQCUACT/zQCUADf/sgCUADn/yACUADv/4gCUADz/sACUAD3/wACUAD//yACUAED/2ACUAGD/2ACUAGz/1gCUAHL/1gCUAHz/1gCUAIL/zQCUAIP/zQCUAIT/zQCUAIX/zQCUAIb/zQCUAIf/zQCUAIj/zQCUAJ//sACUAMr/1gCUAMv/1gCUAMz/zACUAM3/1gCUAM7/1gCUAM//zACVAAX/1gCVAAn/zQCVAAr/1gCVAAz/2ACVAA3/1gCVAA//zACVABH/zACVABL/zQCVACT/zQCVADf/sgCVADn/yACVADv/4gCVADz/sACVAD3/wACVAD//yACVAED/2ACVAGD/2ACVAGz/1gCVAHL/1gCVAHz/1gCVAIL/zQCVAIP/zQCVAIT/zQCVAIX/zQCVAIb/zQCVAIf/zQCVAIj/zQCVAJ//sACVAMr/1gCVAMv/1gCVAMz/zACVAM3/1gCVAM7/1gCVAM//zACWAAX/1gCWAAn/zQCWAAr/1gCWAAz/2ACWAA3/1gCWAA//zACWABH/zACWABL/zQCWACT/zQCWADf/sgCWADn/yACWADv/4gCWADz/sACWAD3/wACWAD//yACWAED/2ACWAGD/2ACWAGz/1gCWAHL/1gCWAHz/1gCWAIL/zQCWAIP/zQCWAIT/zQCWAIX/zQCWAIb/zQCWAIf/zQCWAIj/zQCWAJ//sACWAMr/1gCWAMv/1gCWAMz/zACWAM3/1gCWAM7/1gCWAM//zACXAAX/1gCXAAn/zQCXAAr/1gCXAAz/2ACXAA3/1gCXAA//zACXABH/zACXABL/zQCXACT/zQCXADf/sgCXADn/yACXADv/4gCXADz/sACXAD3/wACXAD//yACXAED/2ACXAGD/2ACXAGz/1gCXAHL/1gCXAHz/1gCXAIL/zQCXAIP/zQCXAIT/zQCXAIX/zQCXAIb/zQCXAIf/zQCXAIj/zQCXAJ//sACXAMr/1gCXAMv/1gCXAMz/zACXAM3/1gCXAM7/1gCXAM//zACYAAX/1gCYAAn/zQCYAAr/1gCYAAz/2ACYAA3/1gCYAA//zACYABH/zACYABL/zQCYACT/zQCYADf/sgCYADn/yACYADv/4gCYADz/sACYAD3/wACYAD//yACYAED/2ACYAGD/2ACYAGz/1gCYAHL/1gCYAHz/1gCYAIL/zQCYAIP/zQCYAIT/zQCYAIX/zQCYAIb/zQCYAIf/zQCYAIj/zQCYAJ//sACYAMr/1gCYAMv/1gCYAMz/zACYAM3/1gCYAM7/1gCYAM//zACaAAX/1gCaAAn/zQCaAAr/1gCaAAz/2ACaAA3/1gCaAA//zACaABH/zACaABL/zQCaACT/zQCaADf/sgCaADn/yACaADv/4gCaADz/sACaAD3/wACaAD//yACaAED/2ACaAGD/2ACaAGz/1gCaAHL/1gCaAHz/1gCaAIL/zQCaAIP/zQCaAIT/zQCaAIX/zQCaAIb/zQCaAIf/zQCaAIj/zQCaAJ//sACaAMr/1gCaAMv/1gCaAMz/zACaAM3/1gCaAM7/1gCaAM//zACbAAn/zACbAA//zgCbABH/zgCbABL/zACbACT/zACbAIL/zACbAIP/zACbAIT/zACbAIX/zACbAIb/zACbAIf/zACbAIj/zACbAMz/zgCbAM//zgCcAAn/zACcAA//zgCcABH/zgCcABL/zACcACT/zACcAIL/zACcAIP/zACcAIT/zACcAIX/zACcAIb/zACcAIf/zACcAIj/zACcAMz/zgCcAM//zgCdAAn/zACdAA//zgCdABH/zgCdABL/zACdACT/zACdAIL/zACdAIP/zACdAIT/zACdAIX/zACdAIb/zACdAIf/zACdAIj/zACdAMz/zgCdAM//zgCeAAn/zACeAA//zgCeABH/zgCeABL/zACeACT/zACeAIL/zACeAIP/zACeAIT/zACeAIX/zACeAIb/zACeAIf/zACeAIj/zACeAMz/zgCeAM//zgCfAAUAJACfAAn/SgCfAAoAJACfAA0AJACfAA//WQCfABD/YACfABH/WQCfABL/SgCfAB3/fQCfAB7/fQCfACIAIACfACP/sACfACT/SgCfACb/sACfACr/sACfAC3/OACfADL/sACfADT/sACfAET/bwCfAEb/YACfAEf/YACfAEj/YACfAEr/UACfAFD/fQCfAFH/fQCfAFL/YACfAFP/fQCfAFT/YACfAFX/fQCfAFb/dQCfAFj/fQCfAFn/nACfAFr/oACfAFv/eACfAFz/nACfAGv/sACfAGwAJACfAG3/YACfAG//YACfAHD/sACfAHIAJACfAHQAOACfAHUAOACfAHf/fQCfAHn/YACfAHsAOACfAHwAJACfAH3/YACfAIL/SgCfAIP/SgCfAIT/SgCfAIX/SgCfAIb/SgCfAIf/SgCfAIj/SgCfAIn/sACfAJT/sACfAJX/sACfAJb/sACfAJf/sACfAJj/sACfAJr/sACfAKL/bwCfAKP/bwCfAKT/bwCfAKX/bwCfAKb/bwCfAKf/bwCfAKj/bwCfAKn/YACfAKr/YACfAKv/YACfAKz/YACfAK3/YACfALL/YACfALP/fQCfALT/YACfALX/YACfALb/YACfALf/YACfALj/YACfALr/YACfALv/fQCfALz/fQCfAL3/fQCfAL7/fQCfAL//nACfAMH/nACfAML/fQCfAMP/sACfAMT/YACfAMj/YACfAMn/YACfAMoAJACfAMsAJACfAMz/WQCfAM0AJACfAM4AJACfAM//WQCfAND/YACfANH/YACfANL/YACgAAX/1gCgAAn/zQCgAAr/1gCgAAz/2ACgAA3/1gCgAA//zACgABH/zACgABL/zQCgACT/zQCgADf/sgCgADn/yACgADv/4gCgADz/sACgAD3/wACgAD//yACgAED/2ACgAGD/2ACgAGz/1gCgAHL/1gCgAHz/1gCgAIL/zQCgAIP/zQCgAIT/zQCgAIX/zQCgAIb/zQCgAIf/zQCgAIj/zQCgAJ//sACgAMr/1gCgAMv/1gCgAMz/zACgAM3/1gCgAM7/1gCgAM//zACiAAX/tACiAAr/tACiAA3/tACiAFn/3ACiAFr/7gCiAFz/3ACiAGz/tACiAHL/tACiAHT/tACiAHX/tACiAHv/tACiAHz/tACiAL//3ACiAMH/3ACiAMr/tACiAMv/tACiAM3/tACiAM7/tACjAAX/tACjAAr/tACjAA3/tACjAFn/3ACjAFr/7gCjAFz/3ACjAGz/tACjAHL/tACjAHT/tACjAHX/tACjAHv/tACjAHz/tACjAL//3ACjAMH/3ACjAMr/tACjAMv/tACjAM3/tACjAM7/tACkAAX/tACkAAr/tACkAA3/tACkAFn/3ACkAFr/7gCkAFz/3ACkAGz/tACkAHL/tACkAHT/tACkAHX/tACkAHv/tACkAHz/tACkAL//3ACkAMH/3ACkAMr/tACkAMv/tACkAM3/tACkAM7/tAClAAX/tAClAAr/tAClAA3/tAClAFn/3AClAFr/7gClAFz/3AClAGz/tAClAHL/tAClAHT/tAClAHX/tAClAHv/tAClAHz/tAClAL//3AClAMH/3AClAMr/tAClAMv/tAClAM3/tAClAM7/tACmAAX/tACmAAr/tACmAA3/tACmAFn/3ACmAFr/7gCmAFz/3ACmAGz/tACmAHL/tACmAHT/tACmAHX/tACmAHv/tACmAHz/tACmAL//3ACmAMH/3ACmAMr/tACmAMv/tACmAM3/tACmAM7/tACnAAX/tACnAAr/tACnAA3/tACnAFn/3ACnAFr/7gCnAFz/3ACnAGz/tACnAHL/tACnAHT/tACnAHX/tACnAHv/tACnAHz/tACnAL//3ACnAMH/3ACnAMr/tACnAMv/tACnAM3/tACnAM7/tACoAAX/oACoAAr/oACoAAz/3ACoAA3/oACoADn/hQCoADr/1wCoAD//hQCoAED/3ACoAFn/3wCoAFv/xACoAFz/3wCoAGD/3ACoAGz/oACoAHL/oACoAHz/oACoAL//3wCoAMH/3wCoAMr/oACoAMv/oACoAM3/oACoAM7/oACqAAX/oACqAAr/oACqAAz/3ACqAA3/oACqADn/hQCqADr/1wCqAD//hQCqAED/3ACqAFn/3wCqAFv/xACqAFz/3wCqAGD/3ACqAGz/oACqAHL/oACqAHz/oACqAL//3wCqAMH/3wCqAMr/oACqAMv/oACqAM3/oACqAM7/oACrAAX/oACrAAr/oACrAAz/3ACrAA3/oACrADn/hQCrADr/1wCrAD//hQCrAED/3ACrAFn/3wCrAFv/xACrAFz/3wCrAGD/3ACrAGz/oACrAHL/oACrAHz/oACrAL//3wCrAMH/3wCrAMr/oACrAMv/oACrAM3/oACrAM7/oACsAAX/oACsAAr/oACsAAz/3ACsAA3/oACsADn/hQCsADr/1wCsAD//hQCsAED/3ACsAFn/3wCsAFv/xACsAFz/3wCsAGD/3ACsAGz/oACsAHL/oACsAHz/oACsAL//3wCsAMH/3wCsAMr/oACsAMv/oACsAM3/oACsAM7/oACtAAX/oACtAAr/oACtAAz/3ACtAA3/oACtADn/hQCtADr/1wCtAD//hQCtAED/3ACtAFn/3wCtAFv/xACtAFz/3wCtAGD/3ACtAGz/oACtAHL/oACtAHz/oACtAL//3wCtAMH/3wCtAMr/oACtAMv/oACtAM3/oACtAM7/oACzAAX/tACzAAr/tACzAA3/tACzAFn/3ACzAFr/7gCzAFz/3ACzAGz/tACzAHL/tACzAHT/tACzAHX/tACzAHv/tACzAHz/tACzAL//3ACzAMH/3ACzAMr/tACzAMv/tACzAM3/tACzAM7/tAC0AAX/oAC0AAr/oAC0AAz/3AC0AA3/oAC0ADn/hQC0ADr/1wC0AD//hQC0AED/3AC0AFn/3wC0AFv/xAC0AFz/3wC0AGD/3AC0AGz/oAC0AHL/oAC0AHz/oAC0AL//3wC0AMH/3wC0AMr/oAC0AMv/oAC0AM3/oAC0AM7/oAC1AAX/oAC1AAr/oAC1AAz/3AC1AA3/oAC1ADn/hQC1ADr/1wC1AD//hQC1AED/3AC1AFn/3wC1AFv/xAC1AFz/3wC1AGD/3AC1AGz/oAC1AHL/oAC1AHz/oAC1AL//3wC1AMH/3wC1AMr/oAC1AMv/oAC1AM3/oAC1AM7/oAC2AAX/oAC2AAr/oAC2AAz/3AC2AA3/oAC2ADn/hQC2ADr/1wC2AD//hQC2AED/3AC2AFn/3wC2AFv/xAC2AFz/3wC2AGD/3AC2AGz/oAC2AHL/oAC2AHz/oAC2AL//3wC2AMH/3wC2AMr/oAC2AMv/oAC2AM3/oAC2AM7/oAC3AAX/oAC3AAr/oAC3AAz/3AC3AA3/oAC3ADn/hQC3ADr/1wC3AD//hQC3AED/3AC3AFn/3wC3AFv/xAC3AFz/3wC3AGD/3AC3AGz/oAC3AHL/oAC3AHz/oAC3AL//3wC3AMH/3wC3AMr/oAC3AMv/oAC3AM3/oAC3AM7/oAC4AAX/oAC4AAr/oAC4AAz/3AC4AA3/oAC4ADn/hQC4ADr/1wC4AD//hQC4AED/3AC4AFn/3wC4AFv/xAC4AFz/3wC4AGD/3AC4AGz/oAC4AHL/oAC4AHz/oAC4AL//3wC4AMH/3wC4AMr/oAC4AMv/oAC4AM3/oAC4AM7/oAC6AAX/oAC6AAr/oAC6AAz/3AC6AA3/oAC6ADn/hQC6ADr/1wC6AD//hQC6AED/3AC6AFn/3wC6AFv/xAC6AFz/3wC6AGD/3AC6AGz/oAC6AHL/oAC6AHz/oAC6AL//3wC6AMH/3wC6AMr/oAC6AMv/oAC6AM3/oAC6AM7/oAC/AAn/pQC/AA//eAC/ABH/eAC/ABL/pQC/ACT/pQC/AEb/3wC/AEf/3wC/AEj/3wC/AFL/3wC/AFT/3wC/AIL/pQC/AIP/pQC/AIT/pQC/AIX/pQC/AIb/pQC/AIf/pQC/AIj/pQC/AKn/3wC/AKr/3wC/AKv/3wC/AKz/3wC/AK3/3wC/ALL/3wC/ALT/3wC/ALX/3wC/ALb/3wC/ALf/3wC/ALj/3wC/ALr/3wC/AMT/3wC/AMz/eAC/AM//eADAAAX/oADAAAr/oADAAAz/3ADAAA3/oADAADn/hQDAADr/1wDAAD//hQDAAED/3ADAAFn/3wDAAFv/xADAAFz/3wDAAGD/3ADAAGz/oADAAHL/oADAAHz/oADAAL//3wDAAMH/3wDAAMr/oADAAMv/oADAAM3/oADAAM7/oADBAAn/pQDBAA//eADBABH/eADBABL/pQDBACT/pQDBAEb/3wDBAEf/3wDBAEj/3wDBAFL/3wDBAFT/3wDBAIL/pQDBAIP/pQDBAIT/pQDBAIX/pQDBAIb/pQDBAIf/pQDBAIj/pQDBAKn/3wDBAKr/3wDBAKv/3wDBAKz/3wDBAK3/3wDBALL/3wDBALT/3wDBALX/3wDBALb/3wDBALf/3wDBALj/3wDBALr/3wDBAMT/3wDBAMz/eADBAM//eADEAAX/oADEAAr/oADEAAz/3ADEAA3/oADEADn/hQDEADr/1wDEAD//hQDEAED/3ADEAFn/3wDEAFv/xADEAFz/3wDEAGD/3ADEAGz/oADEAHL/oADEAHz/oADEAL//3wDEAMH/3wDEAMr/oADEAMv/oADEAM3/oADEAM7/oADIAAX/VwDIAAn/vQDIAAr/VwDIAA3/VwDIAA//fADIABH/fADIABL/vQDIACT/vQDIADf/TADIADn/jADIADr/3ADIADv/vgDIADz/YADIAD3/0ADIAD//jADIAGz/VwDIAHL/VwDIAHz/VwDIAIL/vQDIAIP/vQDIAIT/vQDIAIX/vQDIAIb/vQDIAIf/vQDIAIj/vQDIAJ//YADIAMr/VwDIAMv/VwDIAMz/fADIAM3/VwDIAM7/VwDIAM//fADJAAX/VwDJAAn/vQDJAAr/VwDJAA3/VwDJAA//fADJABH/fADJABL/vQDJACT/vQDJADf/TADJADn/jADJADr/3ADJADv/vgDJADz/YADJAD3/0ADJAD//jADJAGz/VwDJAHL/VwDJAHz/VwDJAIL/vQDJAIP/vQDJAIT/vQDJAIX/vQDJAIb/vQDJAIf/vQDJAIj/vQDJAJ//YADJAMr/VwDJAMv/VwDJAMz/fADJAM3/VwDJAM7/VwDJAM//fADKAAn/QQDKAA//KwDKABD/VwDKABH/KwDKABL/QQDKACP/1gDKACT/QQDKACb/1gDKACr/1gDKADL/1gDKADT/1gDKADkALADKADoALADKADwAJADKAD8ALADKAET/vgDKAEb/oADKAEf/oADKAEj/oADKAFL/oADKAFT/oADKAGv/1gDKAG3/VwDKAG//VwDKAHD/1gDKAHn/VwDKAH3/VwDKAIL/QQDKAIP/QQDKAIT/QQDKAIX/QQDKAIb/QQDKAIf/QQDKAIj/QQDKAIn/1gDKAJT/1gDKAJX/1gDKAJb/1gDKAJf/1gDKAJj/1gDKAJr/1gDKAJ8AJADKAKL/vgDKAKP/vgDKAKT/vgDKAKX/vgDKAKb/vgDKAKf/vgDKAKj/vgDKAKn/oADKAKr/oADKAKv/oADKAKz/oADKAK3/oADKALL/oADKALT/oADKALX/oADKALb/oADKALf/oADKALj/oADKALr/oADKAMP/1gDKAMT/oADKAMj/VwDKAMn/VwDKAMz/KwDKAM//KwDKAND/VwDKANH/VwDKANL/VwDLAAn/QQDLAA//KwDLABD/VwDLABH/KwDLABL/QQDLACP/1gDLACT/QQDLACb/1gDLACr/1gDLADL/1gDLADT/1gDLADkALADLADoALADLADwAJADLAD8ALADLAET/vgDLAEb/oADLAEf/oADLAEj/oADLAFL/oADLAFT/oADLAGv/1gDLAG3/VwDLAG//VwDLAHD/1gDLAHn/VwDLAH3/VwDLAIL/QQDLAIP/QQDLAIT/QQDLAIX/QQDLAIb/QQDLAIf/QQDLAIj/QQDLAIn/1gDLAJT/1gDLAJX/1gDLAJb/1gDLAJf/1gDLAJj/1gDLAJr/1gDLAJ8AJADLAKL/vgDLAKP/vgDLAKT/vgDLAKX/vgDLAKb/vgDLAKf/vgDLAKj/vgDLAKn/oADLAKr/oADLAKv/oADLAKz/oADLAK3/oADLALL/oADLALT/oADLALX/oADLALb/oADLALf/oADLALj/oADLALr/oADLAMP/1gDLAMT/oADLAMj/VwDLAMn/VwDLAMz/KwDLAM//KwDLAND/VwDLANH/VwDLANL/VwDMAAX/KwDMAAr/KwDMAA3/KwDMABD/fADMACP/zADMACb/zADMACr/zADMADL/zADMADT/zADMADf/TADMADn/TADMADr/fQDMADz/WQDMAD//TADMAFn/eADMAFr/uQDMAFz/eADMAGv/zADMAGz/KwDMAG3/fADMAG//fADMAHD/zADMAHL/KwDMAHn/fADMAHz/KwDMAH3/fADMAIn/zADMAJT/zADMAJX/zADMAJb/zADMAJf/zADMAJj/zADMAJr/zADMAJ//WQDMAL//eADMAMH/eADMAMP/zADMAMj/fADMAMn/fADMAMr/KwDMAMv/KwDMAM3/KwDMAM7/KwDMAND/fADMANH/fADMANL/fADNAAn/QQDNAA//KwDNABD/VwDNABH/KwDNABL/QQDNACP/1gDNACT/QQDNACb/1gDNACr/1gDNADL/1gDNADT/1gDNADkALADNADoALADNADwAJADNAD8ALADNAET/vgDNAEb/oADNAEf/oADNAEj/oADNAFL/oADNAFT/oADNAGv/1gDNAG3/VwDNAG//VwDNAHD/1gDNAHn/VwDNAH3/VwDNAIL/QQDNAIP/QQDNAIT/QQDNAIX/QQDNAIb/QQDNAIf/QQDNAIj/QQDNAIn/1gDNAJT/1gDNAJX/1gDNAJb/1gDNAJf/1gDNAJj/1gDNAJr/1gDNAJ8AJADNAKL/vgDNAKP/vgDNAKT/vgDNAKX/vgDNAKb/vgDNAKf/vgDNAKj/vgDNAKn/oADNAKr/oADNAKv/oADNAKz/oADNAK3/oADNALL/oADNALT/oADNALX/oADNALb/oADNALf/oADNALj/oADNALr/oADNAMP/1gDNAMT/oADNAMj/VwDNAMn/VwDNAMz/KwDNAM//KwDNAND/VwDNANH/VwDNANL/VwDOAAn/QQDOAA//KwDOABD/VwDOABH/KwDOABL/QQDOACP/1gDOACT/QQDOACb/1gDOACr/1gDOADL/1gDOADT/1gDOADkALADOADoALADOADwAJADOAD8ALADOAET/vgDOAEb/oADOAEf/oADOAEj/oADOAFL/oADOAFT/oADOAGv/1gDOAG3/VwDOAG//VwDOAHD/1gDOAHn/VwDOAH3/VwDOAIL/QQDOAIP/QQDOAIT/QQDOAIX/QQDOAIb/QQDOAIf/QQDOAIj/QQDOAIn/1gDOAJT/1gDOAJX/1gDOAJb/1gDOAJf/1gDOAJj/1gDOAJr/1gDOAJ8AJADOAKL/vgDOAKP/vgDOAKT/vgDOAKX/vgDOAKb/vgDOAKf/vgDOAKj/vgDOAKn/oADOAKr/oADOAKv/oADOAKz/oADOAK3/oADOALL/oADOALT/oADOALX/oADOALb/oADOALf/oADOALj/oADOALr/oADOAMP/1gDOAMT/oADOAMj/VwDOAMn/VwDOAMz/KwDOAM//KwDOAND/VwDOANH/VwDOANL/VwDPAAX/KwDPAAr/KwDPAA3/KwDPABD/fADPACP/zADPACb/zADPACr/zADPADL/zADPADT/zADPADf/TADPADn/TADPADr/fQDPADz/WQDPAD//TADPAFn/eADPAFr/uQDPAFz/eADPAGv/zADPAGz/KwDPAG3/fADPAG//fADPAHD/zADPAHL/KwDPAHn/fADPAHz/KwDPAH3/fADPAIn/zADPAJT/zADPAJX/zADPAJb/zADPAJf/zADPAJj/zADPAJr/zADPAJ//WQDPAL//eADPAMH/eADPAMP/zADPAMj/fADPAMn/fADPAMr/KwDPAMv/KwDPAM3/KwDPAM7/KwDPAND/fADPANH/fADPANL/fADQAAX/VwDQAAn/vQDQAAr/VwDQAA3/VwDQAA//fADQABH/fADQABL/vQDQACT/vQDQADf/TADQADn/jADQADr/3ADQADv/vgDQADz/YADQAD3/0ADQAD//jADQAGz/VwDQAHL/VwDQAHz/VwDQAIL/vQDQAIP/vQDQAIT/vQDQAIX/vQDQAIb/vQDQAIf/vQDQAIj/vQDQAJ//YADQAMr/VwDQAMv/VwDQAMz/fADQAM3/VwDQAM7/VwDQAM//fADRAAX/VwDRAAn/vQDRAAr/VwDRAA3/VwDRAA//fADRABH/fADRABL/vQDRACT/vQDRADf/TADRADn/jADRADr/3ADRADv/vgDRADz/YADRAD3/0ADRAD//jADRAGz/VwDRAHL/VwDRAHz/VwDRAIL/vQDRAIP/vQDRAIT/vQDRAIX/vQDRAIb/vQDRAIf/vQDRAIj/vQDRAJ//YADRAMr/VwDRAMv/VwDRAMz/fADRAM3/VwDRAM7/VwDRAM//fADSAAX/VwDSAAn/vQDSAAr/VwDSAA3/VwDSAA//fADSABH/fADSABL/vQDSACT/vQDSADf/TADSADn/jADSADr/3ADSADv/vgDSADz/YADSAD3/0ADSAD//jADSAGz/VwDSAHL/VwDSAHz/VwDSAIL/vQDSAIP/vQDSAIT/vQDSAIX/vQDSAIb/vQDSAIf/vQDSAIj/vQDSAJ//YADSAMr/VwDSAMv/VwDSAMz/fADSAM3/VwDSAM7/VwDSAM//fAAAAAcAWgADAAEECQABAAgAAAADAAEECQACAAgACAADAAEECQADAE4AEAADAAEECQAEABIAXgADAAEECQAFAFAAcAADAAEECQAGABIAwAADAAEECQAOADQA0gBMAGEAdABvAEIAbwBsAGQAdAB5AFAAbwBsAGEAbgBkAEwAdQBrAGEAcwB6AEQAegBpAGUAZAB6AGkAYwA6ACAATABhAHQAbwAgAEIAbwBsAGQAOgAgADIAMAAxADEATABhAHQAbwAgAEIAbwBsAGQAVgBlAHIAcwBpAG8AbgAgADEALgAxADAANAA7ACAAVwBlAHMAdABlAHIAbgArAFAAbwBsAGkAcwBoACAAbwBwAGUAbgBzAG8AdQByAGMAZQBMAGEAdABvAC0AQgBvAGwAZABoAHQAdABwADoALwAvAHMAYwByAGkAcAB0AHMALgBzAGkAbAAuAG8AcgBnAC8ATwBGAEwAAgAAAAAAAP+IAKAAAAAAAAAAAAAAAAAAAAAAAAAAAADeAAABAgACAAMABAAFAAYABwAIAAkACgALAAwADQAOAA8AEAARABIAEwAUABUAFgAXABgAGQAaABsAHAAdAB4AHwAgACEAIgAjACQAJQAmACcAKAApACoAKwAsAC0ALgAvADAAMQAyADMANAA1ADYANwA4ADkAOgA7ADwAPQA+AD8AQABBAEIAQwBEAEUARgBHAEgASQBKAEsATABNAE4ATwBQAFEAUgBTAFQAVQBWAFcAWABZAFoAWwBcAF0AXgBfAGAAYQEDAKMAhACFAL0AlgDoAIYAjgCLAJ0AqQCkAQQAigDaAIMAkwDyAPMAjQCXAIgAwwDeAPEAngCqAPUA9AD2AKIArQDJAMcArgBiAGMAkABkAMsAZQDIAMoAzwDMAM0AzgDpAGYA0wDQANEArwBnAPAAkQDWANQA1QBoAOsA7QCJAGoAaQBrAG0AbABuAKAAbwBxAHAAcgBzAHUAdAB2AHcA6gB4AHoAeQB7AH0AfAC4AKEAfwB+AIAAgQDsAO4AugDXALAAsQDYAN0A2QCyALMAtgC3AMQAtAC1AMUAhwC+AL8AvAEFAO8AwADBAQYBBwEIAQkBCgELBE5VTEwHdW5pMDBBMAd1bmkwMEFEBEV1cm8KZ3JhdmUuY2FzZQ1kaWVyZXNpcy5jYXNlCmFjdXRlLmNhc2UPY2lyY3VtZmxleC5jYXNlCXJpbmcuY2FzZQp0aWxkZS5jYXNlAAAAAAEAAgANAAf//wAPAAEAAAAKADAARAACREZMVAAObGF0bgAaAAQAAAAA//8AAQAAAAQAAAAA//8AAQABAAJrZXJuAA5rZXJuAA4AAAABAAAAAQAEAAIAAAABAAgAAQDmAAQAAABuEGgQaAscEGgRghI8EYIGCA68C+AMvg68AcIM6Ai4AoQOvAOmDrwETASiDOgGCAeqCLgNIgmCCxwL4A9GEBIQEgpID0YK0g9GD0YQEhASCo4PkArACtIPkAscDrwQaBI8EjwOvBBoC6ILohI8C6IQaBI8C+AL4AvgC+AL4AvgDL4OvA68DrwOvA68DrwOvAzoDOgM6AzoDSIOvA9GD0YPRg9GD0YPRhASEBIQEhASEBIPRhASEBIQEhASEBIQEg+QEBIPkBASEjwSPBBoEGgRghBoEGgRghI8EjwSPAACACQABQAFAAAACgALAAEADQANAAMADwASAAQAIwAkAAgAJgAnAAoAKQApAAwALQAvAA0AMgA1ABAANwA/ABQARABFAB0ASABJAB8ASwBLACEATgBOACIAUABTACMAVQBVACcAWQBcACgAXgBeACwAawBtAC0AbwBwADAAcgByADIAdAB1ADMAeQB5ADUAewB9ADYAggCHADkAiQCJAD8AkgCSAEAAlACYAEEAmgCgAEYAogCoAE0AqgCtAFQAswC4AFgAugC6AF4AvwDBAF8AxADEAGIAyADSAGMAMAAJ/20AD/9MABH/TAAS/20AHf/EAB7/xAAiAB4AJP9tAC3/QwBG/8AAR//AAEj/wABQ/8QAUf/EAFL/wABT/8QAVP/AAFX/xABY/8QAd//EAIL/bQCD/20AhP9tAIX/bQCG/20Ah/9tAIj/bQCp/8AAqv/AAKv/wACs/8AArf/AALL/wACz/8QAtP/AALX/wAC2/8AAt//AALj/wAC6/8AAu//EALz/xAC9/8QAvv/EAML/xADE/8AAzP9MAM//TABIAAX+5AAK/uQADf7kAA8AOgAQ/04AEQA6ACL/zgAj/7AAJv+wACr/sAAy/7AANP+wADf/UAA5/0EAOv9ZADz/HQA//0EARv/aAEf/2gBI/9oAUv/aAFT/2gBZ/4kAWv+wAFz/iQBr/7AAbP7kAG3/TgBv/04AcP+wAHL+5AB0/y0Adf8tAHn/TgB7/y0AfP7kAH3/TgCJ/7AAlP+wAJX/sACW/7AAl/+wAJj/sACa/7AAn/8dAKn/2gCq/9oAq//aAKz/2gCt/9oAsv/aALT/2gC1/9oAtv/aALf/2gC4/9oAuv/aAL//iQDB/4kAw/+wAMT/2gDI/04Ayf9OAMr+5ADL/uQAzAA6AM3+5ADO/uQAzwA6AND/TgDR/04A0v9OACkACf9lAA/+9wAR/vcAEv9lACT/ZQAt/0EARP/OAEb/4gBH/+IASP/iAFL/4gBU/+IAgv9lAIP/ZQCE/2UAhf9lAIb/ZQCH/2UAiP9lAKL/zgCj/84ApP/OAKX/zgCm/84Ap//OAKj/zgCp/+IAqv/iAKv/4gCs/+IArf/iALL/4gC0/+IAtf/iALb/4gC3/+IAuP/iALr/4gDE/+IAzP73AM/+9wAVACP/0AAm/9AAKv/QADL/0AA0/9AAN//IADj/zQBr/9AAcP/QAIn/0ACU/9AAlf/QAJb/0ACX/9AAmP/QAJr/0ACb/80AnP/NAJ3/zQCe/80Aw//QAFkACf9tAA//TAAQ/0wAEf9MABL/bQAd/2AAHv9gACP/sgAk/20AJv+yACr/sgAt/zgAMv+yADT/sgBE/wwARv80AEf/NABI/zQASv9LAFD/YABR/2AAUv8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format('truetype');
}
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font-family: 'Lato';
font-style: italic;
font-weight: 400;
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nLgE1NDc+AhIBOQ4dKRsGEgxSKTsmEiBUlXVGCAwOSXNOKQMxSaCgmkMPCxEUCC9Xtri0VIz+9/7y/uKiLgYQCxEWcuj1AQMAAAEAlANhAuEF4QA2AFlACgAAADYANhsaAwcrS7AZUFhAIDAsKyckIx8UEA8MCQgEDgEAAR4CAQEAATUAAAANACADG0AeMCwrJyQjHxQQDwwJCAQOAQABHgAAAQA0AgEBASsDWbA4KwE3PgE3DgEPASc3NjcmLwE3Fx4BFyY1NDY/ATMHDgEHPgE/ARcHBgceAR8BBycuAScWFRQGDwEBaRkCCAgLGhGpIakkJCQekTOREBcICAEBGVQYAgoJCx0RqSCpIyARHQ+RMpEPGAgHAQEYA2HGEiEPDRMKZEllFQMDFWZJZQsWEBgXBgwHx8YTIREOFQpkSWUVAwILC2ZIZAoUDhQWBgwHxwAAAAABAHMArwRBBI0ACwB0QBIAAAALAAsKCQgHBgUEAwIBBwcrS7DoUFhAJQYBBQAFNAACAQI1BAEAAQEAAAAjBAEAAAEAAiQDAQEAAQACIQUbQCwGAQUABTQAAgECNQAABAEAAAAjAAQAAwEEAwAAJgAAAAEAAiQAAQABAAIhBlmwOCsBAyEHIQMjEyE3IRMC3DUBmhD+ZjWNNf5pEAGXNgSN/lOC/lEBr4IBrQAAAQAy/vEBJADsABgAX0AGFxUEAgIHK0uwX1BYQBINAQEbAAAAAQEAJAABAQwBIAMbS7BsUFhAEg0BARsAAAABAQAkAAEBDwEgAxtAGw0BARsAAAEBAAEAIwAAAAEBACQAAQABAQAhBFlZsDgrNzQ2MzIeAhUUDgIHJyY1ND4CNyMiJjJBNh4uHxAZMUYtHw0gKicHDDRBey9CFiczHi1hX1omHQwQDCY1RSpFAAEAYQIOAjwCoAADACVABgMCAQACBytAFwAAAQEAAAAjAAAAAQAAJAABAAEAACEDsDgrEyEHIXMByRP+OAKgkgABAC3/8QEnAOwAEwBTQAYQDgYEAgcrS7BfUFhADgAAAAEBACQAAQESASACG0uwbFBYQA4AAAABAQAkAAEBFQEgAhtAFwAAAQEAAQAjAAAAAQEAJAABAAEBACEDWVmwOCs3ND4CMzIeAhUUDgIjIi4CLRMiLRsaLSIUFCItGhstIhNuGi4iFBQiLhobLSITEyItAAAAAf+v/6UDLgWrAAkALUAGCQcEAgIHK0uwX1BYQAwAAAEANQABAREBIAIbQAoAAQABNAAAACsCWbA4KxcOASsBAT4BOwFdEDobSQLUDjQgSRkgIgXHHiEAAAIAT//xBGoFpwATACcAhkASFRQBAB8dFCcVJwsJABMBEwYHK0uwX1BYQBwAAwMAAQAkBAEAABEfBQECAgEBACQAAQESASAEG0uwbFBYQBoEAQAAAwIAAwEAJgUBAgIBAQAkAAEBFQEgAxtAJAQBAAADAgADAQAmBQECAQECAQAjBQECAgEBACQAAQIBAQAhBFlZsDgrATIeAhUUAg4BIyIuAjU0Ej4BAzI+ARI1NC4CIyIOAQIVFB4CArdfoHNBYqjffmCgc0FiqOAgVJdxQi1MZThUl3FCLUxlBadJkduS3/612mtJkduT3wFK2mv621m0ARO6eKlqMFm1/u26eKlpMAAAAQDlAAAD8gWcABAAy0AMEA8ODQwLBwUBAAUHK0uwX1BYQCMKAwIBAgEeAAECAAIBADIAAgILHwMBAAAEAAIkAAQEDAQgBRtLsGxQWEAgCgMCAQIBHgACAQI0AAEAATQDAQAABAACJAAEBA8EIAUbS7DoUFhAKgoDAgECAR4AAgECNAABAAE0AwEABAQAAAAjAwEAAAQAAiQABAAEAAIhBhtALwoDAgECAR4AAgECNAABAAE0AAMABAADKgAAAwQAAAAjAAAABAACJAAEAAQAAiEHWVlZsDgrNyETNwUGIyImLwEBMwMhByH0ATZ7Ev7bEhQPGAUsAdaMoAEcEP0DhAPtTeUODQhLAXH66IQAAAABAC8AAARKBacANAC2QBABAC0rJyUXFhANADQBNAYHK0uwX1BYQC0wAQQDCwECAQIeAAQDAQMEATIAAwMAAQAkBQEAABEfAAEBAgAAJAACAgwCIAYbS7BsUFhAKzABBAMLAQIBAh4ABAMBAwQBMgUBAAADBAADAQAmAAEBAgAAJAACAg8CIAUbQDQwAQQDCwECAQIeAAQDAQMEATIFAQAAAwQAAwEAJgABAgIBAQAjAAEBAgAAJAACAQIAACEGWVmwOCsBMh4CFRQOAgcBPgEzITIWFRQGDwEhNz4BNwE+AzU0LgIjIgYHDgEjIiYvAT4DAstTjWY5OWKDSv5RKVImAeoaHAQCB/xIBwIUEgIGSXJPKSM+VTJwnSULIxkFDAZXGWOGpQWnL1qBUluWhn5D/ngLDBwXCiIONTsRKRABz0F1c3hFNlI2HHVmHRgBAQ9ilmY0AAAAAAEAXf/wBFgFpwBDAP5AFgEAPDo2NC4tLCsjIRsZExEAQwFDCQcrS7BfUFhAQz8BBwYKAQQFFwEDAgMeAAcGBQYHBTIAAgQDBAIDMgAFAAQCBQQBACYABgYAAQAkCAEAABEfAAMDAQEAJAABARIBIAgbS7BsUFhAQT8BBwYKAQQFFwEDAgMeAAcGBQYHBTIAAgQDBAIDMggBAAAGBwAGAQAmAAUABAIFBAEAJgADAwEBACQAAQEVASAHG0BKPwEHBgoBBAUXAQMCAx4ABwYFBgcFMgACBAMEAgMyCAEAAAYHAAYBACYABQAEAgUEAQAmAAMBAQMBACMAAwMBAQAkAAEDAQEAIQhZWbA4KwEyHgIVFA4CBx4BFRQOAiMiLgInNzYzMhYXHgMzMj4CNTQuAiM3PgE1NC4CIyIGBw4BIyImLwE+AwLhVItiNipNbUN6e1aSwWpklmpCEFAWEhMbBRAsQlxBUoBXLh5OhGYQvroiPlQycpwmCyMYBQsFWBljhqQFpy5VeElPeVo7EiObcGyte0IuXIxfHggQEDpXOh04WnI7MFE7InsEm4Y1UDUadmUdGAEBD2KWZjQAAAIALQAABGYFmQAQABYAzEAOFhUQDwsJCAcGBAEABgcrS7BfUFhAHw4NAgEAAR4FAQADAQECAAEBAiYABAQLHwACAgwCIAQbS7BsUFhAHw4NAgEAAR4ABAAENAUBAAMBAQIAAQECJgACAg8CIAQbS7DoUFhAKw4NAgEAAR4ABAAENAACAQI1BQEAAQEAAAAjBQEAAAEBAiQDAQEAAQECIQYbQDIODQIDBQEeAAQABDQAAgECNQAABQEAAAAjAAUAAwEFAwEAJgAAAAEBAiQAAQABAQIhB1lZWbA4KwEzBw4BKwEDIxMhIiYvAQEzAz4BNwEhA43ZDgIVFLEunC/9ihQiAgYDK6bCAgwI/ZkCBgICYg8W/oUBexYRVwOg/sQYNx39OQABAET/8ARGBZkALgDgQBAuLSknHx0aGBIQCAYEAgcHK0uwX1BYQDsFAQUBLCsCAwUWAQQDAx4AAwUEBQMEMgABAAUDAQUBACYAAAAGAAAkAAYGCx8ABAQCAQAkAAICEgIgBxtLsGxQWEA5BQEFASwrAgMFFgEEAwMeAAMFBAUDBDIABgAAAQYAAQAmAAEABQMBBQEAJgAEBAIBACQAAgIVAiAGG0BCBQEFASwrAgMFFgEEAwMeAAMFBAUDBDIABgAAAQYAAQAmAAEABQMBBQEAJgAEAgIEAQAjAAQEAgEAJAACBAIBACEHWVmwOCsBDgEjIQM2MzIeAhUUDgIjIi4CJzc2MzIeAjMyPgI1NC4CIyIGBycTIQQ8BTM3/jlzb1xpnWk0XZ7TdT9wX04ePRUcEy9DX0NTi2Q3JEhuSzJzRGfFAqQFTSQv/n8YOWSJUX7NkE8YKTYeShgfJR84ZY1WOV1DJBESHwKcAAAAAgBo//AEMAWXAB4AMgCfQBABAC8tJSMZFwsJAB4BHgYHK0uwX1BYQCQcAQQAAR4FAQAABAMABAEAJgACAgsfAAMDAQEAJAABARIBIAUbS7BsUFhAJBwBBAABHgACAAI0BQEAAAQDAAQBACYAAwMBAQAkAAEBFQEgBRtALRwBBAABHgACAAI0BQEAAAQDAAQBACYAAwEBAwEAIwADAwEBACQAAQMBAQAhBllZsDgrATIeAhUUDgIjIi4CNTQ+AjcBPgE7AQEGBz4BARQeAjMyPgI1NC4CIyIOAgK5T4llOlSUyXZimmw5HDlXPAGrDzMemf4ULiU3g/6cJERkQE+FYTYnR2U+T4ReNQNsMmCKV2++jFA8bppfPnd5fUUB6xEY/eczLCQp/iE7Y0goNV6ATD1jRSU4X34AAQC7AAAEsAWZABMAfEAMAAAAEwATDw0JBwQHK0uwX1BYQBoSAQECAR4AAQECAAAkAwECAgsfAAAADAAgBBtLsGxQWEAYEgEBAgEeAwECAAEAAgEBACYAAAAPACADG0AkEgEBAgEeAAABADUDAQIBAQIAACMDAQICAQEAJAABAgEBACEFWVmwOCsBBw4BBwEOASsBAT4BNyEiJj0BNwSwBwMNCf0CCycXjgLxDx8T/Q8RFQ8FmUQZLQ77KxIaBKYYKRMWEAR1AAADAFL/8AQ+BacAHwAzAEcAxEAaNTQhIAEAPz00RzVHKykgMyEzEQ8AHwEfCQcrS7BfUFhALhgIAgMEAR4IAQQAAwIEAwEAJgAFBQEBACQAAQERHwcBAgIAAQAkBgEAABIAIAYbS7BsUFhALBgIAgMEAR4AAQAFBAEFAQAmCAEEAAMCBAMBACYHAQICAAEAJAYBAAAVACAFG0A2GAgCAwQBHgABAAUEAQUBACYIAQQAAwIEAwEAJgcBAgAAAgEAIwcBAgIAAQAkBgEAAgABACEGWVmwOCsFIi4CNTQ2Ny4BNTQ+AjMyHgIVFAYHHgEVFA4CJzI+AjU0LgIjIg4CFRQeAhMyPgI1NC4CIyIOAhUUHgICBmOhcj6tnGFhSH+waVqQZTaLhnR8UY/EY05+WjAtTGM1QnpfOSRGZJZRcUcgHTpYO0hvTCcaOVkQM16FUaHKKSaSYliZcUA0W3tGg74tI5p1aah3P4kuUnRGQFo5GyRMd1M1Vz8jArI0U2YzLU47Ii1MaDorUD0lAAACANEAAAR3BacAHwAxAJ1AEAEALiwmJBkXCwkAHwEfBgcrS7BfUFhAJB0BAAQBHgAEBQEAAgQAAQAmAAMDAQEAJAABAREfAAICDAIgBRtLsGxQWEAiHQEABAEeAAEAAwQBAwEAJgAEBQEAAgQAAQAmAAICDwIgBBtALR0BAAQBHgACAAI1AAEAAwQBAwEAJgAEAAAEAQAjAAQEAAEAJAUBAAQAAQAhBllZsDgrASIuAjU0PgIzMh4CFRQOAgcBDgErAQE+ATcOAQE0LgIjIg4CFRQWMzI+AgI1S4JgN1KPwnBelWg4HjtUNv5jDzAengH5Gi4UPZEBUCVEXzpJe1ozhXhPflkwAk0wXIVUabeHTjtqlFhIfXZ2Qv4GEhcCPB02Gi0vAco6X0QlMll7SnWCNVp2AAIALf/xAYsD2gATACcAmEAKJCIaGBAOBgQEBytLsCRQWEAaAAMDAgEAJAACAg4fAAAAAQEAJAABARIBIAQbS7BfUFhAGAACAAMAAgMBACYAAAABAQAkAAEBEgEgAxtLsGxQWEAYAAIAAwACAwEAJgAAAAEBACQAAQEVASADG0AhAAIAAwACAwEAJgAAAQEAAQAjAAAAAQEAJAABAAEBACEEWVlZsDgrNzQ+AjMyHgIVFA4CIyIuAhM0PgIzMh4CFRQOAiMiLgItEyItGxotIhQUIi0aGy0iE2QTIi0bGi0iFBQiLRobLSITbhouIhQUIi4aGy0iExMiLQMJGi4iFBQiLhobLSITEyItAAACAC7+8QGRA9oAGAAsAKhACiknHx0XFQQCBAcrS7AkUFhAHg0BARsAAwMCAQAkAAICDh8AAAABAQAkAAEBDAEgBRtLsF9QWEAcDQEBGwACAAMAAgMBACYAAAABAQAkAAEBDAEgBBtLsGxQWEAcDQEBGwACAAMAAgMBACYAAAABAQAkAAEBDwEgBBtAJQ0BARsAAgADAAIDAQAmAAABAQABACMAAAABAQAkAAEAAQEAIQVZWVmwOCs3NDYzMh4CFRQOAgcnJjU0PgI3IyImEzQ+AjMyHgIVFA4CIyIuAi5BNh4uHxAZMUYtHw0gKicHDDRBaRMiLRsaLSIUFCItGhstIhN7L0IWJzMeLWFfWiYdDBAMJjVFKkUDFxouIhQUIi4aGy0iExMiLQAAAAABAJ8A6gPeBFcAFgAHQAQBFQELKxMBBw4BBwUOAQceARcFHgEVFA4CBwGoAzYQAhQU/iMVLxoYKxMBpg8PAwUGA/0tAsYBkX8RGQrkCw8GBRAK4wgXCwEaJzAYAZIAAAACAI0BugQfA4oAAwAHADNACgcGBQQDAgEABAcrQCEAAgADAAIDAAAmAAABAQAAACMAAAABAAAkAAEAAQAAIQSwOCsTIQchEyEHIZ0DWhD8pjoDWA/8pwI9gwHQgwAAAAABAH0A6wO8BFgAFgAHQAQVAQELKwkBNz4BNyU+ATcuASclLgE1ND4CNwEDs/zKEAIUFAHdFS8aGCsT/loPDwMFBgMC0wJ8/m9/ERkK5AsPBgUQCuMIFwsBGicwGP5uAAACAIT/8QMTBacAJQA5ALpADjY0LCokIh8dExIGBAYHK0uwX1BYQC8AAQMCAR4AAwIBAgMBMgABBAIBBDAAAgIAAQAkAAAAER8ABAQFAQAkAAUFEgUgBxtLsGxQWEAtAAEDAgEeAAMCAQIDATIAAQQCAQQwAAAAAgMAAgEAJgAEBAUBACQABQUVBSAGG0A2AAEDAgEeAAMCAQIDATIAAQQCAQQwAAAAAgMAAgEAJgAEBQUEAQAjAAQEBQEAJAAFBAUBACEHWVmwOCsTPgMzMh4CFRQOBA8BIzc+BTU0JiMiDgIjIicTND4CMzIeAhUUDgIjIi4ChCFLV2M4RnFQKi9IV089CiV3CwM1TFdJMV9ROFI7Jw0YCg8TIS0bGi4iExMiLhobLSETBRcdNCgXKkplO1R2Vz87QCuapjBKQT5IWz1OWh4kHhb7nhouIhQUIi4aGy0iExMiLQAAAAACAE3/EQWwBU0AVABkATlAIFZVAQBeXFVkVmRMSkA+OTczMSknHx0TEQcFAFQBVA0HK0uwQ1BYQFAVAQoCWwMCAwo8AQUGAx4ABgAFAAYFMgAIAAQCCAQBACYAAgAKAwIKAQAmDAkCAwELAgAGAwABACYABQcHBQEAIwAFBQcBACQABwUHAQAhCBtLsMhQWEBXFQEKAlsDAgkKPAEFBgMeAAYABQAGBTIACAAEAggEAQAmAAIACgkCCgEAJgwBCQMACQEAIwADAQsCAAYDAAEAJgAFBwcFAQAjAAUFBwEAJAAHBQcBACEJG0BYFQEKAlsDAgkKPAEFBgMeAAYABQAGBTIACAAEAggEAQAmAAIACgkCCgEAJgwBCQABAAkBAQAmAAMLAQAGAwABACYABQcHBQEAIwAFBQcBACQABwUHAQAhCVlZsDgrJSImJw4BIyIuAjU0PgQzMhYXAw4BFRQeAjMyPgI1NC4CIyIOAQIVFB4CMzI2Nz4BMzIWHwEGBCMiLgI1ND4EMzIeAhUUDgIlMj4CNxMmIyIOAhUUFgQCRlIEP4ZIMEcuFyA/W3eQVD9bKYQTEQ4ZIRMzYUsuRHqpZYfzt2xQj8Z2jdZMCxAIDxIEDGv++6CR8K1fPGuWtMxtdc+bWkV2nP4xGzw6OBhrIylJgmE5MrpKTVBFIzxSMDx+dWhOLRQU/pg0TBwbIxUIRn+waXSwdjx10v7gq43ak0w+MAcEEwwzSFJfs/+gf+nJpXVAT5bYin/XnVl1FDNXQwEoCUdyj0k5SAAC/8EAAAScBZkADQAWAL9ADA8ODQwLCQYFAgAFBytLsF9QWEAdEwEEAwEeAAQAAQAEAQACJgADAwsfAgEAAAwAIAQbS7BsUFhAHRMBBAMBHgADBAM0AAQAAQAEAQACJgIBAAAPACAEG0uw6FBYQCgTAQQDAR4AAwQDNAIBAAEANQAEAQEEAAAjAAQEAQACJAABBAEAAiEGG0AuEwEEAwEeAAMEAzQAAgEAAQIAMgAAADMABAEBBAAAIwAEBAEAAiQAAQQBAAIhB1lZWbA4KyEjIiYnAyEDDgErAQEzASEDLgEnDgEHBJyQGRwFTv24pAklF5ICv73+PgHrhAYOBQ4dDRkUAV7+ohIbBZn8egJRGkImJkMaAAAAAwBhAAAEZQWZABQAHwAqALlAFhUVAAAqKCIgFR8VHhgWABQAEwMBCAcrS7BfUFhALAwBAwQBHgAEBwEDAgQDAQAmAAUFAAEAJAAAAAsfAAICAQEAJAYBAQEMASAGG0uwbFBYQCoMAQMEAR4AAAAFBAAFAQAmAAQHAQMCBAMBACYAAgIBAQAkBgEBAQ8BIAUbQDMMAQMEAR4AAAAFBAAFAQAmAAQHAQMCBAMBACYAAgEBAgEAIwACAgEBACQGAQECAQEAIQZZWbA4KzMTITIeAhUUDgIHHgEVFA4CIwsBITI+AjU0JiMlMzI+AjU0JisBYbEBqHChaDIlSm9KgYJHhsF5zD8BGk94UCiAgf7351F5USh8gu4FmS1Td0lAdGJMFx2RcGOleEICj/4FKk5uRV9xhCtNbEFnZwAAAAEAZP/wBPgFqQAvAM5AEgEAJyUiIBkXDw0IBgAvAS8HBytLsF9QWEA0HQEEBQsBAAECHgAEBQEFBAEyAAEABQEAMAAFBQMBACQAAwMRHwYBAAACAQAkAAICEgIgBxtLsGxQWEAyHQEEBQsBAAECHgAEBQEFBAEyAAEABQEAMAADAAUEAwUBACYGAQAAAgEAJAACAhUCIAYbQDwdAQQFCwEAAQIeAAQFAQUEATIAAQAFAQAwAAMABQQDBQEAJgYBAAICAAEAIwYBAAACAQAkAAIAAgEAIQdZWbA4KyUyPgQzMhYfAQ4BIyIuAjU0EjYkMzIeAhcHDgEjIi4CIyIOAhUUHgICp0JmTjcpHAsJDARBXvWjgMyNS3TLARKeTHxmUyRACBQPEihFbVd0ypRVOmeOkRYgJyAWBwVRZnFcpeSJuwE233saMkYrTgoNKC8oXa32mW+we0IAAgBhAAAFPQWZAAwAGQB3QAoWFBMRCQcGBAQHK0uwX1BYQBoAAgIBAQAkAAEBCx8AAwMAAQAkAAAADAAgBBtLsGxQWEAYAAEAAgMBAgEAJgADAwABACQAAAAPACADG0AhAAEAAgMBAgEAJgADAAADAQAjAAMDAAEAJAAAAwABACEEWVmwOCsBFAIGBCMhEyEyHgIHNC4CIyEDITI+AgU9ccf+7aL+EbEB7oTVlFDAN2eUXf7OjAEyeMaOTwMxt/7T13YFmVqj44xsrnlB+5Zbq/UAAAABAGEAAARBBZkACwCZQA4LCgkIBwYFBAMCAQAGBytLsF9QWEAkAAEAAgMBAgAAJgAAAAUAACQABQULHwADAwQAACQABAQMBCAFG0uwbFBYQCIABQAAAQUAAAAmAAEAAgMBAgAAJgADAwQAACQABAQPBCAEG0ArAAUAAAEFAAAAJgABAAIDAQIAACYAAwQEAwAAIwADAwQAACQABAMEAAAhBVlZsDgrASEDIQchAyEHIRMhBC79jTwB/BP+BT0CdRP8z7EDLwUA/h2T/g6YBZkAAQBhAAAEQQWZAAkAhEAMCQgHBgUEAwIBAAUHK0uwX1BYQB0AAQACAwECAAAmAAAABAAAJAAEBAsfAAMDDAMgBBtLsGxQWEAbAAQAAAEEAAAAJgABAAIDAQIAACYAAwMPAyADG0AmAAMCAzUABAAAAQQAAAAmAAECAgEAACMAAQECAAAkAAIBAgAAIQVZWbA4KwEhAyEHIQMjEyEELv2NPwIZFf3qTL2xAy8FAP4CmP2WBZkAAQBk//AFJQWpADoA2UAUAQAyMCspIiAYFhEQCAYAOgE6CAcrS7BfUFhANyYBBQYKAQECAh4ABQYCBgUCMgACAAEAAgEBACYABgYEAQAkAAQEER8HAQAAAwEAJAADAxIDIAcbS7BsUFhANSYBBQYKAQECAh4ABQYCBgUCMgAEAAYFBAYBACYAAgABAAIBAQAmBwEAAAMBACQAAwMVAyAGG0A/JgEFBgoBAQICHgAFBgIGBQIyAAQABgUEBgEAJgACAAEAAgEBACYHAQADAwABACMHAQAAAwEAJAADAAMBACEHWVmwOCslMj4CNxMjIiY1MD4CMTchAw4DIyIuAjU0EjYkMzIeAhcHDgEjIicuAyMiDgIVFB4CAsA0Wk9JJCfHERMBAQEJAZpDNnOAjlKC05ZRc8sBF6VTiG5ZJTwKFQ4REBY1S2pLe82TUjtsmIcLFh8UAUQSDgoMCk/93Sc6JxNdp+iKuQEz3XocMkQoTg0OCg0pJRtervaXcbR+QwAAAQBhAAAFRQWZAAsAsUAOCwoJCAcGBQQDAgEABgcrS7BfUFhAGAAEAAEABAEAAiYFAQMDCx8CAQAADAAgAxtLsGxQWEAYBQEDBAM0AAQAAQAEAQACJgIBAAAPACADG0uw6FBYQCMFAQMEAzQCAQABADUABAEBBAAAIwAEBAEAAiQAAQQBAAIhBRtALQADBQM0AAUEBTQAAgEAAQIAMgAAADMABAEBBAAAIwAEBAEAAiQAAQQBAAIhB1lZWbA4KyEjEyEDIxMzAyETMwSVvVH9RVC9sbxPArtPvAKO/XIFmf19AoMAAQCBAAAB7AWZAAMAUUAGAwIBAAIHK0uwX1BYQAwAAQELHwAAAAwAIAIbS7BsUFhADgABAQAAACQAAAAPACACG0AXAAEAAAEAACMAAQEAAAAkAAABAAAAIQNZWbA4KyEjEzMBPbyvvAWZAAAAAf/7//ADBgWZABYArUAKFhUQDgsJBAIEBytLsBxQWEAaBgEAAQEeAAMDCx8CAQEBAAEAJAAAABIAIAQbS7BfUFhAIQYBAAIBHgABAwIDAQIyAAMDCx8AAgIAAQAkAAAAEgAgBRtLsGxQWEAeBgEAAgEeAAMBAzQAAQIBNAACAgABACQAAAAVACAFG0AnBgEAAgEeAAMBAzQAAQIBNAACAAACAQAjAAICAAEAJAAAAgABACEGWVlZsDgrAQ4BIyImJzc+ATMyHgIzMj4CNxMzApEd78Y2XjAOAhMUChohKxw0XEozC3W7Advu/Q4ObQ8WBQcFIk5+XAPCAAAAAQByAAAFJQWZACAA0EAOIB8eHRwaExEJBwIABgcrS7BfUFhAHg0BAwABHgAAAAMCAAMBAiYFAQEBCx8EAQICDAIgBBtLsGxQWEAgDQEDAAEeAAAAAwIAAwECJgUBAQECAQAkBAECAg8CIAQbS7DoUFhAKg0BAwABHgUBAQACAQEAIwAAAAMCAAMBAiYFAQEBAgEAJAQBAgECAQAhBRtANw0BAwABHgAFAQABBQAyAAQDAgMEAjIAAQUCAQEAIwAAAAMEAAMBAiYAAQECAQAkAAIBAgEAIQdZWVmwOCsBMzI2NwE+ATsBAQ4BBx4BFwEjIi4CJwEuASsBAyMTMwGOQiMtFQHwFywen/3EFSUUGCMRAbChEhkRDAb+iBAnK1FRuq+7AyITFwIgGhP9lBcfCQojGv1ZBgoPCQI8GBb9bgWZAAAAAQBhAAADZgWZAAUAZEAIBQQDAgEAAwcrS7BfUFhAEwACAgsfAAAAAQACJAABAQwBIAMbS7BsUFhAEwACAAI0AAAAAQACJAABAQ8BIAMbQBwAAgACNAAAAQEAAAAjAAAAAQACJAABAAEAAiEEWVmwOCslIQchEzMBLwI3E/0OsbuengWZAAAAAAEAYQAABnYFmQAiAJ5ADB8dHBsVEgwLCggFBytLsF9QWEAdFwMCAgABHgACAAEAAgEyBAEAAAsfAwEBAQwBIAQbS7BsUFhAGhcDAgIAAR4EAQACADQAAgECNAMBAQEPASAEG0uw6FBYQBgXAwICAAEeBAEAAgA0AAIBAjQDAQEBKwQbQCAXAwICBAEeAAAEADQABAIENAACAwI0AAMBAzQAAQErBllZWbA4KwEeARc2NwE+ATsBAyMTPgE3AQYrASInAQ4BBwMjEzMyFhcBAzQGCwUSGAIzDh0Zi7CkgwIJBf3TGi8aLhH+pwECAoKlsYkZHQgBWwH0FScVKicDhRcJ+mcEIxQuGfx+KysDhBguFPvaBZkJF/x7AAAAAQBhAAAFRQWZABgAi0AMGBcWFQwKCQgBAAUHK0uwX1BYQBUPAQIAAR4EAQIAAAsfAwECAgwCIAMbS7BsUFhAFQ8BAgABHgQBAgACADQDAQICDwIgAxtLsOhQWEATDwECAAEeBAECAAIANAMBAgIrAxtAHw8BAwQBHgAAAQA0AAEEATQABAMENAADAgM0AAICKwZZWVmwOCsBMhYXAT4BNxMzAyMiJicBFA4CBwMjEzMBchkXDAJqAgQCgKWwXhceC/2XAQICAYKlsWAFmQwU+7kXKRMEFPpnDxQESAUSFBUH+9wFmQAAAAIAZP/xBY4FqQAVACkAd0AKJiQcGhIQCAYEBytLsF9QWEAaAAICAQEAJAABAREfAAMDAAEAJAAAABIAIAQbS7BsUFhAGAABAAIDAQIBACYAAwMAAQAkAAAAFQAgAxtAIQABAAIDAQIBACYAAwAAAwEAIwADAwABACQAAAMAAQAhBFlZsDgrARQOBCMiLgI1NBI2JDMyHgIHNC4CIyIOAhUUHgIzMj4CBY40X4enw2uE05VPcskBE6GE05VPwDhnlV12xo5QOGeUXXjGjk8DMnrauZRoOF6n5om3ATPefF+o541tsXxEX7D5mm2wfENer/kAAAACAHIAAARpBZkADgAbAJJAFA8PAAAPGw8aEhAADgANBQMCAQcHK0uwX1BYQB8AAwUBAgADAgEAJgYBBAQBAQAkAAEBCx8AAAAMACAEG0uwbFBYQB0AAQYBBAMBBAEAJgADBQECAAMCAQAmAAAADwAgAxtAKAAAAgA1AAEGAQQDAQQBACYAAwICAwEAIwADAwIBACQFAQIDAgEAIQVZWbA4KwEDIxMhMh4CFRQOAiMLATMyPgI1NC4CIwFuQrqvAYtyqG02So3PhXRK0FWCWC4iRGhFAhr95gWZNmSMVnG9iE0C7P2oNF2BTDpcQSMAAAACAGT+1wWOBakAHAAwAMxADC0rIyEZFw8NCAYFBytLsBVQWEAmCwUCAQQBHgADAwIBACQAAgIRHwAEBAEBACQAAQESHwAAABAAIAYbS7BfUFhAJgsFAgEEAR4AAAEANQADAwIBACQAAgIRHwAEBAEBACQAAQESASAGG0uwbFBYQCQLBQIBBAEeAAABADUAAgADBAIDAQAmAAQEAQEAJAABARUBIAUbQC0LBQIBBAEeAAABADUAAgADBAIDAQAmAAQBAQQBACMABAQBAQAkAAEEAQEAIQZZWVmwOCsBFA4CBwEjIiYnAw4BIyIuAjU0EjYkMzIeAgc0LgIjIg4CFRQeAjMyPgIFjjNehVIBIZciNRLFNnE8hNOVT3LJAROhhNOVT8A4Z5VddsaOUDhnlF14xo5PAzJ52LiVNP53ExkBERESXqfmibcBM958X6jnjW2xfERfsPmabbB8Q16v+QAAAgByAAAEVQWZABgAIwDnQBYZGQAAGSMZIhwaABgAFxMRBQMCAQgHK0uwX1BYQCYOAQMEAR4ABAYBAwAEAwEAJgcBBQUBAQAkAAEBCx8CAQAADAAgBRtLsGxQWEAkDgEDBAEeAAEHAQUEAQUBACYABAYBAwAEAwEAJgIBAAAPACAEG0uw6FBYQC8OAQMEAR4CAQADADUAAQcBBQQBBQEAJgAEAwMEAQAjAAQEAwEAJAYBAwQDAQAhBhtANQ4BAwQBHgACAwADAgAyAAAAMwABBwEFBAEFAQAmAAQDAwQBACMABAQDAQAkBgEDBAMBACEHWVlZsDgrAQMjEyEyHgIVFA4CBxYXASMiJwEuASMLATMyPgI1NCYjAXZKuq8BeXKnbTU0YopXIBUBNaYxFf7yDSIlL0S3VYJZLYmJAln9pwWZMFl/TleWd1MUFib9xCgCBBkUAq392zBXd0dtcwAAAAEADP/wA9UFpwA9AMZADjs5KCYjIRwaCQcEAgYHK0uwX1BYQDM9AQABHgEEAwIeAAABAwEAAzIAAwQBAwQwAAEBBQEAJAAFBREfAAQEAgEAJAACAhICIAcbS7BsUFhAMT0BAAEeAQQDAh4AAAEDAQADMgADBAEDBDAABQABAAUBAQAmAAQEAgEAJAACAhUCIAYbQDo9AQABHgEEAwIeAAABAwEAAzIAAwQBAwQwAAUAAQAFAQEAJgAEAgIEAQAjAAQEAgEAJAACBAIBACEHWVmwOCsBDgEjIi4CIyIOAhUUHgYVFA4CIyImJzc+ATMyHgIzMj4CNTQuBjU0PgIzMhYXA54LFA4RJjtUP0BkRSQwTmVoZU4wRoO6dIDJQUIIGA4TLERkS0VvTSowTmNpY04wQHisbG6wOQS7Dg8jKSMoRVw1NEczJykySmhKZrWIUGVWWQsOLTctLE5tQjdJMiUmMEpsT1iifEpUSQABAHsAAASZBZkABwCdQA4AAAAHAAcGBQQDAgEFBytLsF9QWEAVAgEAAAMAACQEAQMDCx8AAQEMASADG0uwbFBYQBMEAQMCAQABAwAAACYAAQEPASACG0uw6FBYQB8AAQABNQQBAwAAAwAAIwQBAwMAAAAkAgEAAwAAACEEG0AlAAIDAAACKgABAAE1BAEDAgADAAIjBAEDAwAAACQAAAMAAAAhBVlZWbA4KwEHIQMjEyE3BJkU/lmcupz+VxMFmZ37BAT8nQAAAAEAkv/vBSQFmQAeAJ1ADgEAFhUODAcGAB4BHgUHK0uwX1BYQBUDAQEBCx8EAQAAAgEAJAACAhICIAMbS7BsUFhAFQMBAQABNAQBAAACAQAkAAICFQIgAxtLsOhQWEAfAwEBAAE0BAEAAgIAAQAjBAEAAAIBACQAAgACAQAhBBtAIwABAwE0AAMAAzQEAQACAgABACMEAQAAAgEAJAACAAIBACEFWVlZsDgrJTI+AjcTMwMOAyMiLgI1NDcTMwMOARUUHgICdlCHZUELa7tqD2Ocz3tvrHc+Bmq7awIDJ0tvkz5tmFoDafyXe9ObWEiBsmotLwNp/JgUJhJLfFoxAAABAHwAAAVXBZkAEgB3QAgSERAOAgADBytLsF9QWEATCAECAAEeAQEAAAsfAAICDAIgAxtLsGxQWEATCAECAAEeAQEAAgA0AAICDwIgAxtLsOhQWEARCAECAAEeAQEAAgA0AAICKwMbQBUIAQIBAR4AAAEANAABAgE0AAICKwRZWVmwOCsTMzIWFxMeARc+ATcBPgE7AQEjfJUZHAXvCA8FDh8QAekIJRiW/TepBZkaE/wAIE0qKkwhBAAQHfpnAAABAIEAAAfBBZkALACXQAwsKyMiIR8TEAIABQcrS7BfUFhAGCcZCggEAwABHgIBAgAACx8EAQMDDAMgAxtLsGxQWEAYJxkKCAQDAAEeAgECAAMANAQBAwMPAyADG0uw6FBYQBYnGQoIBAMAAR4CAQIAAwA0BAEDAysDG0AiJxkKCAQEAgEeAAABADQAAQIBNAACBAI0AAQDBDQAAwMrBllZWbA4KxMzMhYXEx4BFxYXPgE3AT4BOwEyFhcTHgEXPgE3AT4BOwEBIwMuAScOAQcBI4GSGR4DmgIDAgEBChULAa0IJBgrGR4EswUGAgoRCgGTBycYkv21qcIDBQIHDQf+L6gFmRkU/AoOKBMWFyA8GgP2ERwZFPwKGjogIDoaA/YRHPpnBE8QJhQUJhD7sQAAAf+6AAAE7AWZABoApUAKGhgRDw0LAwEEBytLsF9QWEAVDgACAgABHgEBAAALHwMBAgIMAiADG0uwbFBYQBcOAAICAAEeAQEAAAIBACQDAQICDwIgAxtLsOhQWEAhDgACAgABHgEBAAICAAEAIwEBAAACAQAkAwECAAIBACEEG0ArDgACAwEBHgAAAQA0AAMBAgEDAjIAAQMCAQEAIwABAQIBACQAAgECAQAhBllZWbA4KwkBMzIWFwE2NwE+ATsBCQEjIiYnAQYHAQYrAQH0/q+pFRIHAQAJDQFsCxUPwf4LAXqoFBcG/twICv5RGiS7Av0CnA4O/eQTEgH2Dg/9bPz7Fw0CcREN/a0kAAEAeQAABPsFmQAUAHtACBQSBgQCAQMHK0uwX1BYQBQMAwIAAQEeAgEBAQsfAAAADAAgAxtLsGxQWEAUDAMCAAEBHgIBAQABNAAAAA8AIAMbS7DoUFhAEgwDAgABAR4CAQEAATQAAAArAxtAFgwDAgACAR4AAQIBNAACAAI0AAAAKwRZWVmwOCsBAyMTATMyFhcTHgEXPgE3AT4BOwECrke7R/6GphkaCO4KDgUMHREBfQshGJsCPf3DAjsDXhkT/cIdNBoaNB0CPhAcAAEAEAAABKsFmQAPAH5ADgAAAA8ADw4NCAcGBQUHK0uwX1BYQBsAAgIDAAAkBAEDAwsfAAAAAQAAJAABAQwBIAQbS7BsUFhAGQQBAwACAAMCAAAmAAAAAQAAJAABAQ8BIAMbQCIEAQMAAgADAgAAJgAAAQEAAAAjAAAAAQAAJAABAAEAACEEWVmwOCsBBw4BBwEhByE3PgE3ASE3BKsIAgwJ/JQC4hT8IggCCwkDbP03EwWZPA4XDPtsmDsOFgwElZkAAAABACH+4QJXBfwAEgA4QA4AAAASABIKCAcFAgEFBytAIgAAAAECAAEBACYAAgMDAgEAIwACAgMAACQEAQMCAwAAIQSwOCsbASEHDgErAQMzMhYVFA4CDwEh3wFXCAIeFZfFmRMXAQIDAQL+4QcbQxQa+cgWEQEMERMJEQAAAQBs/6UCcQWrAAkALUAGBwUCAAIHK0uwX1BYQAwAAQABNQAAABEAIAIbQAoAAAEANAABASsCWbA4KxMzMhYXASMiJidsSSArCAFpSBwyCAWrIh36OSIgAAH/8f7hAikF/AAOADlACgsJCAYDAgEABAcrQCcNAQMAAR4AAAADAgADAQAmAAIBAQIBACMAAgIBAAAkAAECAQAAIQWwOCsTIQMhNz4BOwETIyImNTfRAVjg/qgJAh0WmMSYFBcGBfz45UMUGwY4FxEwAAAAAQDXAxMEFwWZABEAW0AIEQ8EAgEAAwcrS7BfUFhAEwoBAQABHgIBAQABNQAAAAsAIAMbS7DoUFhAEQoBAQABHgAAAQA0AgEBASsDG0AVCgECAAEeAAACADQAAgECNAABASsEWVmwOCsBMwEjIiYnAy4BJwYHAw4BKwECPnIBZ4IRGAjEDRMHDhfBCBgUiAWZ/XoUDgFgFysVLCv+oA4UAAH/of7kAoX/WAADACtACgAAAAMAAwIBAwcrQBkCAQEAAAEAACMCAQEBAAAAJAAAAQAAACEDsDgrBQchNwKFD/0rDqh0dAAAAAEATQSLAaAFpwAJADNACgEABgQACQEJAwcrS7BfUFhADQABAAE1AgEAABEAIAIbQAsCAQABADQAAQErAlmwOCsTMhYfASMiJicD8B8cCmtjFBgLuQWnFBbyDA8BAQAAAAIAMP/yA6kEAwAZACsA9kAQGxokIRorGysXFQsJAgAGBytLsCJQWEArGQEEAiAFAgMEBAEAAwMeAAQEAgEAJAACAhQfBQEDAwABACQBAQAADAAgBRtLsF9QWEAvGQEEAiAFAgMEBAEAAwMeAAQEAgEAJAACAhQfAAAADB8FAQMDAQEAJAABARUBIAYbS7BsUFhALxkBBAIgBQIDBAQBAAMDHgAEBAIBACQAAgIUHwAAAA8fBQEDAwEBACQAAQEVASAGG0A6GQEEAiAFAgMEBAEAAwMeAAADAQMAATIAAgAEAwIEAQAmBQEDAAEDAQAjBQEDAwEBACQAAQMBAQAhBllZWbA4KyEjIiY1Nw4DIyIuAjU0PgQzMhYXATI+AjcTLgEjIg4EFRQDMFwjGRIkU11mNzxiRSYtU3SPpFpBezz90zFeVEkcKxYrFTxwYlA5ICQazUBoSSgvW4VWWquYf10zFRr8sj1slVkBXAUDJ0ZhdINF8QAAAAACAE//8gPlBcEAGQAsAXFAFhsaAAAkIhosGywAGQAYExEJBwIBCAcrS7AJUFhALSADAgUEFQECBQIeAAAADR8HAQQEAQEAJAABARQfAAUFAgECJAYDAgICEgIgBhtLsCJQWEAtIAMCBQQVAQIFAh4AAAANHwcBBAQBAQAkAAEBFB8ABQUCAQIkBgMCAgIVAiAGG0uwX1BYQDEgAwIFBBUBAwUCHgAAAA0fBwEEBAEBACQAAQEUHwYBAwMMHwAFBQIBAiQAAgIVAiAHG0uwbFBYQDEgAwIFBBUBAwUCHgAAAA0fBwEEBAEBACQAAQEUHwYBAwMPHwAFBQIBAiQAAgIVAiAHG0uwjVBYQC8gAwIFBBUBAwUCHgYBAwUCBQMCMgABBwEEBQEEAQAmAAUAAgUCAQIlAAAADQAgBRtAOyADAgUEFQEDBQIeAAABADQGAQMFAgUDAjIAAQcBBAUBBAEAJgAFAwIFAQAjAAUFAgECJAACBQIBAiEHWVlZWVmwOCszEzMDPgMzMhYVFA4EIyImJwcOASMBIg4CBwMeATMyPgQ1NCZPsq9YJlhgaDaBkCI/WW2ARlGDKg0IGR4B4zBiW1AdICZqNzRcTDwpFlYFwf00PWVGJ7y1UqSVgV82RD9BGhoDdTxqklf++TYtLEtlc3s8d3wAAAABADz/8gNiBAMALwC8QA4tKyYkHBoXFRAOBgQGBytLsAlQWEAvEgEDAQEeAAIDBQMCBTIABQQDBQQwAAMDAQEAJAABARQfAAQEAAEAJAAAABIAIAcbS7BsUFhALxIBAwEBHgACAwUDAgUyAAUEAwUEMAADAwEBACQAAQEUHwAEBAABACQAAAAVACAHG0A2EgEDAQEeAAIDBQMCBTIABQQDBQQwAAEAAwIBAwEAJgAEAAAEAQAjAAQEAAEAJAAABAABACEHWVmwOCslDgMjIi4CNTQ+AjMyFhcHDgEjIi4CIyIOAhUUHgIzMj4EMzIfAQMzNF1eZTpYh1svTYq+cmSIMzgGEgsOGytBM0V7XDUcOFE2LUY2KSEbDhQOLLY5TC0SPG2ZXHvirmhHREMIChkfGUuCsmY+ZUcnExwhHBMRNgAAAAACADX/8gQGBcEAGQAqAVBAFhsaAQAkIhoqGyoYFxQSCggAGQEZCAcrS7AiUFhAMRYBBQIgBAIEBQMBAAQDHgADAw0fAAUFAgEAJAACAhQfBwEEBAABACQBBgIAAAwAIAYbS7BfUFhANRYBBQIgBAIEBQMBAAQDHgADAw0fAAUFAgEAJAACAhQfBgEAAAwfBwEEBAEBACQAAQEVASAHG0uwbFBYQDUWAQUCIAQCBAUDAQAEAx4AAwMNHwAFBQIBACQAAgIUHwYBAAAPHwcBBAQBAQAkAAEBFQEgBxtLsI1QWEAzFgEFAiAEAgQFAwEABAMeBgEABAEEAAEyAAIABQQCBQEAJgcBBAABBAEBACUAAwMNAyAFG0BAFgEFAiAEAgQFAwEABAMeAAMCAzQGAQAEAQQAATIAAgAFBAIFAQAmBwEEAAEEAQAjBwEEBAEBACQAAQQBAQAhB1lZWVmwOCshIiY1Nw4DIyImNTQ+BDMyFhcTMwMlMj4CNxMuASMiDgIVFBYC9CMZEyZaY2s3go8iP1ltgEZKeytFr7b+OTBhW08dISZqNk9/WTBWJBrTQWpLKb20UqSWgV42OjYCLfo/gTtpkVYBDDUsXpW4WXd9AAIAO//yA3EEAwAqADkAuEAQLCsrOSw5JyUbGRMRDAoGBytLsAlQWEAtMAEBBBUBAAECHgABBAAEAQAyBQEEBAMBACQAAwMUHwAAAAIBACQAAgISAiAGG0uwbFBYQC0wAQEEFQEAAQIeAAEEAAQBADIFAQQEAwEAJAADAxQfAAAAAgEAJAACAhUCIAYbQDQwAQEEFQEAAQIeAAEEAAQBADIAAwUBBAEDBAEAJgAAAgIAAQAjAAAAAgEAJAACAAIBACEGWVmwOCsBFA4CBwYUFRQWMzI+BDMyHwEOAyMiLgI1ND4EMzIeAiUiDgIHPgM1NC4CA3E2kPzGAXV2MEs7LSYgEBIPLDNhZm9AV4pgNCE/W3WNUU1wSCP+zj9qUjoQmrpkIBAjOAMcQm9ZQhQLFQuGjRQdIx0UETc1SzIXOmuYXk6bjHhXMixEUkI0W3tHEzE5QiQSJyAVAAAAAAEAP/8HAswFrgAjAQlAEgAAACMAIyIhHBcTEQwLBQMHBytLsDJQWEA3FAEDAgoBBQEGAQAFAx4AAwMCAQAkAAICER8GAQUFAQAAJAQBAQEOHwAAAAEAACQEAQEBDgAgBxtLsF9QWEAvFAEDAgoBBQEGAQAFAx4GAQUAAQUAACMEAQEAAAEAAQAlAAMDAgEAJAACAhEDIAUbS7DoUFhANBQBAwIKAQUBBgEABQMeAAIAAwECAwEAJgQBAQYBBQABBQAAJgQBAQEAAQAkAAABAAEAIQUbQDoUAQMCCgEFBAYBAAUDHgACAAMBAgMBACYAAQQAAQAAIwAEBgEFAAQFAAAmAAEBAAEAJAAAAQABACEGWVlZsDgrAQMHBisBEycuATU3Mzc+AzMyFwcOASMiJiMiDgIPATMHAXZlLhFLRodkERQIkQwLQWN/ST4zEQIXEgkVDCtJOCYIDP0RA2H8wM9LBFcNBRIRTmJXh10wFFwOBwEZOFpBXYAAAAAAA/++/pQDywQEADsASwBeAVBAGD08W1lTUUVDPEs9SzQzMjAoJhwaEhAKBytLsBtQWEBCOQEFBiQBAgUeAQcBAx4JAQUAAgEFAgEAJgABAAcIAQcBACYABAQOHwAGBgMBACQAAwMUHwAICAABACQAAAAWACAIG0uwSVBYQEU5AQUGJAECBR4BBwEDHgAEAwYDBAYyCQEFAAIBBQIBACYAAQAHCAEHAQAmAAYGAwEAJAADAxQfAAgIAAEAJAAAABYAIAgbS7BsUFhAQjkBBQYkAQIFHgEHAQMeAAQDBgMEBjIJAQUAAgEFAgEAJgABAAcIAQcBACYACAAACAABACUABgYDAQAkAAMDFAYgBxtATDkBBQYkAQIFHgEHAQMeAAQDBgMEBjIAAwAGBQMGAQAmCQEFAAIBBQIBACYAAQAHCAEHAQAmAAgAAAgBACMACAgAAQAkAAAIAAEAIQhZWVmwOCsBDgUVFB4CFRQOAiMiLgI1ND4CMzIWFy4BNTQ2Nw4BIyIuAjU0PgIzMhchBw4BDwEeAQEyPgI1NCYjIg4CFRQWATQmJy4BIyIOAhUUFjMyPgIDMAEXIigiFykxKUJ6r21Xj2U3UoarWSRHIwkLExYmXjw6ZUwsNWaWYm5RARMIAhMTfgkK/n42UjkeWU42UjgdVwEWCgg2XypSeE4meW9CbU0rAtwyUEQ8PD8lKkRIVTpHf2I5JEJdOE9ySiIGBRMpGB9CKRocJkpvSkiLbUI0OxEcAxYaOf7NL01gMVhaLEpeM1pe/h4aLRQJCB0wPyJITCM6TgAAAQBPAAADxAXBABsA8kAQAAAAGwAbFhQODQcFAgEGBytLsF9QWEAgAwECAwEeAAAADR8AAwMBAQAkAAEBFB8FBAICAgwCIAUbS7BsUFhAIAMBAgMBHgAAAA0fAAMDAQEAJAABARQfBQQCAgIPAiAFG0uwjVBYQB4DAQIDAR4FBAICAwI1AAEAAwIBAwEAJgAAAA0AIAQbS7DoUFhAKQMBAgMBHgAAAQA0BQQCAgMCNQABAwMBAQAjAAEBAwEAJAADAQMBACEGG0AvAwEEAwEeAAABADQFAQQDAgMEAjIAAgIzAAEDAwEBACMAAQEDAQAkAAMBAwEAIQdZWVlZsDgrMxMzAz4BMzIWFRQGBwMjEz4BNTQmIyIOAgcDT7KyU0/BZXN8AgNMskwCAz1CLV9aTh1BBcH9VHZ5mJEUKxf9ewKFFCURUlAxWn9O/ecAAAAAAgBfAAABywWzAAMAFwDAQA4AABQSCggAAwADAgEFBytLsAlQWEAZAAICAwEAJAADAxEfBAEBAQ4fAAAADAAgBBtLsF9QWEAZAAICAwEAJAADAw0fBAEBAQ4fAAAADAAgBBtLsGxQWEAZAAICAwEAJAADAw0fBAEBAQ4fAAAADwAgBBtLsI1QWEAYBAEBAAABAAAAJQACAgMBACQAAwMNAiADG0AjAAMAAgEDAgEAJgQBAQAAAQAAIwQBAQEAAAAkAAABAAAAIQRZWVlZsDgrAQMjGwEUDgIjIi4CNTQ+AjMyHgIBiHqvevIVIywYFywhFBQiLBcYLCMUA/X8CwP1AT4aLSMUFCMtGhouIxUUIy8AAAAAAv9n/pQBxgWzABQAKAEBQBAAACUjGxkAFAAUEQwHBQYHK0uwCVBYQCYJAQABAR4AAwMEAQAkAAQEER8FAQICDh8AAQEAAQAkAAAAFgAgBhtLsElQWEAmCQEAAQEeAAMDBAEAJAAEBA0fBQECAg4fAAEBAAEAJAAAABYAIAYbS7BsUFhAIwkBAAEBHgABAAABAAEAJQADAwQBACQABAQNHwUBAgIOAiAFG0uwjVBYQCYJAQABAR4FAQIDAQMCATIAAQAAAQABACUAAwMEAQAkAAQEDQMgBRtAMAkBAAEBHgUBAgMBAwIBMgAEAAMCBAMBACYAAQAAAQEAIwABAQABACQAAAEAAQAhBllZWVmwOCsBAw4DIyImJzc+ATMyFjMyNjcbARQOAiMiLgI1ND4CMzIeAgGHhggtTGlDIzIYEgUODgcRC0dFCoXuFSMtFxgrIRQUIisYGCwjFAP1+8A9aU4tCgpgDQcBSVEEQAE+Gi0jFBQjLRoaLiMVFCMvAAAAAQBOAAAD1wXBAB4BCUASAAAAHgAeHRwbGRQSCggDAQcHK0uwX1BYQCMOAQMAAR4AAAADAgADAQImBgEFBQ0fAAEBDh8EAQICDAIgBRtLsGxQWEAjDgEDAAEeAAAAAwIAAwECJgYBBQUNHwABAQ4fBAECAg8CIAUbS7CNUFhAIg4BAwABHgAAAAMCAAMBAiYAAQQBAgECAQAlBgEFBQ0FIAQbS7DoUFhALg4BAwABHgYBBQEFNAABAAIBAQAjAAAAAwIAAwECJgABAQIBACQEAQIBAgEAIQYbQDUOAQMAAR4GAQUBBTQABAMCAwQCMgABAAIBAQAjAAAAAwQAAwECJgABAQIBACQAAgECAQAhB1lZWVmwOCsBAzMyNjcBPgE7AQEOAQceARcBIyImJwEuASsBAyMTAbJqHxQaEAFPEB4Ynf55Dx0REBYLATCZFhsL/v4NGRwiO7C1BcH8nQsRAVcQFP5zEBsKDCAT/gwQEwGfFA7+HAXBAAEAWAAAAboFwQADAF9ACgAAAAMAAwIBAwcrS7BfUFhADQAAAA0fAgEBAQwBIAIbS7BsUFhADQAAAA0fAgEBAQ8BIAIbS7CNUFhADQIBAQABNQAAAA0AIAIbQAsAAAEANAIBAQErAllZWbA4KzMTMwNYs6+zBcH6PwAAAAABAEcAAAXBBAQAMAEqQBYAAAAwADArKSMiHRsWFQ8NCQcDAQkHK0uwIlBYQCQEAQQACwUCAwQCHgYBBAQAAQAkAgECAAAOHwgHBQMDAwwDIAQbS7BfUFhAKAQBBAALBQIDBAIeAAAADh8GAQQEAQEAJAIBAQEUHwgHBQMDAwwDIAUbS7BsUFhAKAQBBAALBQIDBAIeAAAADh8GAQQEAQEAJAIBAQEUHwgHBQMDAw8DIAUbS7DoUFhAMQQBBAALBQIDBAIeAAAEAwABACMCAQEGAQQDAQQBACYAAAADAAAkCAcFAwMAAwAAIQUbQEMEAQYACwUCBwQCHgAFBwMHBQMyAAMDMwAABgcAAQAjAAEABgQBBgEAJgACAAQHAgQBACYAAAAHAAAkCAEHAAcAACEIWVlZWbA4KzMTMzIVBz4BMzIWFT4BMzIWFRQGBwMjEzY1NCYjIg4CBwMjEz4BNTQmIyIOAgcDR3pZPA5LsmNnYky9aHBvBANMr0wGMjsrVlBFG0GwTQMELzswWU9EHD8D9jy1foGNg4uFkokXMhv9ewKFMShLRytTe1D92QKFGzAVR0QwW4NS/fAAAAABAEcAAAO9BAQAHQECQBAAAAAdAB0YFhAPCQcDAQYHK0uwIlBYQCAEAQMABQECAwIeAAMDAAEAJAEBAAAOHwUEAgICDAIgBBtLsF9QWEAkBAEDAAUBAgMCHgAAAA4fAAMDAQEAJAABARQfBQQCAgIMAiAFG0uwbFBYQCQEAQMABQECAwIeAAAADh8AAwMBAQAkAAEBFB8FBAICAg8CIAUbS7DoUFhALQQBAwAFAQIDAh4AAAMCAAEAIwABAAMCAQMBACYAAAACAAAkBQQCAgACAAAhBRtAMQQBAwAFAQQDAh4AAgQCNQAAAwQAAQAjAAEAAwQBAwEAJgAAAAQAACQFAQQABAAAIQZZWVlZsDgrMxMzMhUHPgEzMhYVFAYHAyMTPgE1NCYjIg4CBwNHeVk8D1HLbXF9AgNMskwCAz1BMGNcTxw6A/Y8xIaImJIUKhf9ewKFFCURUk80X4dT/f0AAgA3//IDtgQFAA8AIwCIQBIREAEAGxkQIxEjCQcADwEPBgcrS7AJUFhAHAABAQMBACQAAwMUHwQBAAACAQAkBQECAhICIAQbS7BsUFhAHAABAQMBACQAAwMUHwQBAAACAQAkBQECAhUCIAQbQCQAAwABAAMBAQAmBAEAAgIAAQAjBAEAAAIBACQFAQIAAgEAIQRZWbA4KyUyPgI1NCYjIg4CFRQWFyIuAjU0PgIzMh4CFRQOAgHASXhULm5oSndULm1ZU4pkOFCLvW5TimQ4UIu+fVCFrl+Mjk+Frl+Mj4s5bJxkgOKqYjlsnWN/4qpjAAAAAAIAHP6pA90EBAAYACsBTEAWGhkAACMhGSsaKwAYABgVEwsJAwEIBytLsAlQWEAxBAEEAB8FAgUEFwECBQMeBwEEBAABACQBAQAADh8ABQUCAQAkAAICEh8GAQMDEAMgBhtLsCJQWEAxBAEEAB8FAgUEFwECBQMeBwEEBAABACQBAQAADh8ABQUCAQAkAAICFR8GAQMDEAMgBhtLsElQWEA1BAEEAB8FAgUEFwECBQMeAAAADh8HAQQEAQEAJAABARQfAAUFAgEAJAACAhUfBgEDAxADIAcbS7BsUFhANwQBBAAfBQIFBBcBAgUDHgcBBAQBAQAkAAEBFB8ABQUCAQAkAAICFR8GAQMDAAEAJAAAAA4DIAcbQDwEAQQAHwUCBQQXAQIFAx4AAAQDAAEAIwABBwEEBQEEAQAmAAUAAgMFAgEAJgAAAAMAACQGAQMAAwAAIQZZWVlZsDgrGwEzMhUHPgMzMhYVFA4EIyImJwMBIg4CBwMeATMyPgQ1NCYcpVk8ESZaY2w4gZAiP1ltgEZLfCo2AcAwY1xPHSAmazc0XEw8KRZW/qkFTTzYQmtMKby1UqSVgV82Ozf+RQTMPGyUV/7+Ny0sS2Vzezx3fAAAAgAw/qkDqQQDAB4AMAD3QBAgHykmHzAgMBwaEA4CAAYHK0uwCVBYQC8eAQQCJQoCAwQJAQABAx4ABAQCAQAkAAICFB8FAQMDAQEAJAABARIfAAAAEAAgBhtLsElQWEAvHgEEAiUKAgMECQEAAQMeAAQEAgEAJAACAhQfBQEDAwEBACQAAQEVHwAAABAAIAYbS7BsUFhALx4BBAIlCgIDBAkBAAEDHgAAAQA1AAQEAgEAJAACAhQfBQEDAwEBACQAAQEVASAGG0A3HgEEAiUKAgMECQEAAQMeAAABADUAAgAEAwIEAQAmBQEDAQEDAQAjBQEDAwEBACQAAQMBAQAhBllZWbA4KwEjIiY1ND4CNRMOAyMiLgI1ND4EMzIWFwEyPgI3Ey4BIyIOBBUUAwVwIBoCAgI7I1BaYjQ8YkUmLVN0j6RaQXs8/dMwXVRIHC0VKxU8cGJQOSD+qSUZAxARDgIB1zteQyQvW4VWWquYf10zFRr8sjxqk1cBYwUDJ0ZhdINF8QAAAAABAEcAAALUA/0AFwDKQA4AAAAXABcUEg8NAwEFBytLsENQWEAhEAoCAgARCwIDAgIeAAICAAEAJAEBAAAOHwQBAwMMAyAEG0uwX1BYQCUQCgICABELAgMCAh4AAAAOHwACAgEBACQAAQEUHwQBAwMMAyAFG0uwbFBYQCUQCgICABELAgMCAh4AAAAOHwACAgEBACQAAQEUHwQBAwMPAyAFG0AuEAoCAgARCwIDAgIeAAACAwABACMAAQACAwECAQAmAAAAAwAAJAQBAwADAAAhBVlZWbA4KzMTMzIWFRQOAhUHPgEzMhcHJiMiBgcDR3pZHCABAQEOQaFZKiogLyxhmDM4A/YaGwQPEAwBuIyYEqsTvcD+KgAAAQAK//ADAAQEADkAyEAONzUmJCEfGhgJBwQCBgcrS7BfUFhAMzkBAQUcAQIEAh4AAAEDAQADMgADBAEDBDAAAQEFAQAkAAUFFB8ABAQCAQAkAAICEgIgBxtLsGxQWEAzOQEBBRwBAgQCHgAAAQMBAAMyAAMEAQMEMAABAQUBACQABQUUHwAEBAIBACQAAgIVAiAHG0A6OQEBBRwBAgQCHgAAAQMBAAMyAAMEAQMEMAAFAAEABQEBACYABAICBAEAIwAEBAIBACQAAgQCAQAhB1lZsDgrAQ4BIyIuAiMiDgIVFB4EFRQOAiMiJic3PgEzMh4CMzI+AjU0LgQ1ND4CMzIWFwLTCBAMDiEvRDAtSjYdPl5tXj43Z5FaYZUvLAgWERAgMEk4MU83HT5ebF4+M2CJVluLMgNTDAsWGxcZLDshLzgpJjpaSEaAYTpFNkQNDhwjHB4yQyYzPCgjN1hJQHdcNz00AAAAAQBf//ACtQU+ADABMkAQLy0oJiMhGRgXFhUTCAYHBytLsDJQWEAuKwEGBAEeAAECATQABQAEAAUEMgMBAAACAAAkAAICDh8ABAQGAQAkAAYGEgYgBxtLsF9QWEAsKwEGBAEeAAECATQABQAEAAUEMgACAwEABQIAAQImAAQEBgEAJAAGBhIGIAYbS7BsUFhALCsBBgQBHgABAgE0AAUABAAFBDIAAgMBAAUCAAECJgAEBAYBACQABgYVBiAGG0uw6FBYQDUrAQYEAR4AAQIBNAAFAAQABQQyAAIDAQAFAgABAiYABAYGBAEAIwAEBAYBACQABgQGAQAhBxtAOysBBgQBHgABAgE0AAADBQMABTIABQQDBQQwAAIAAwACAwACJgAEBgYEAQAjAAQEBgEAJAAGBAYBACEIWVlZWbA4Kzc0PgI3EyMiJjU0PgI/ARM+ATsBAyEHIQMOAxUUFjMyPgIzMhYfAQ4BIyImnwEDBgY/cQ0RAgMDAZxLBBYQXiwBCg/+9T0FBQMBLykaKB0UCAgJBSUwfT9hcL8GEyQ6LwH7DxADEhcYCxUBOQ8T/qOB/g4pMh4MAzMxDxIPCAlVKzFqAAABAGD/8gPVA/UAIwD2QBAAAAAjACMdGxEPDg0IBgYHK0uwIlBYQB0ZGAIAAQEeBQQCAQEOHwAAAAIBAiQDAQICDAIgBBtLsF9QWEAhGRgCAAEBHgUEAgEBDh8AAgIMHwAAAAMBAiQAAwMVAyAFG0uwbFBYQCEZGAIAAQEeBQQCAQEOHwACAg8fAAAAAwECJAADAxUDIAUbS7DoUFhAKhkYAgABAR4AAAIDAAEAIwUEAgEAAgMBAgEAJgAAAAMBAiQAAwADAQIhBRtAMRkYAgAEAR4FAQQBAAEEADIAAAIDAAEAIwABAAIDAQIBACYAAAADAQIkAAMAAwECIQZZWVlZsDgrAQMOARUUFjMyPgI3EzMDIyImNTQ+AjU3DgEjIiY1NDY3EwFiTAIDPUIuYVtOHT+xelgfIgIDAwdRyGpxfQIDTAP1/XwUJBFSUDJcglACD/wLHB0BIigiAVGBhZqQFCoXAoQAAAABAEsAAAPhA/UAEgB3QAgSERAOAgADBytLsF9QWEATCAECAAEeAQEAAA4fAAICDAIgAxtLsGxQWEATCAECAAEeAQEAAA4fAAICDwIgAxtLsOhQWEARCAECAAEeAQEAAgA0AAICKwMbQBUIAQIBAR4AAAEANAABAgE0AAICKwRZWVmwOCsTMzIWFxMeARc+ATcBPgE7AQEjS5AUGAOXCAcCCxgSAToIHBGL/gSVA/UWD/10JUokJEkmAowQFfwLAAABAFEAAAW5A/cALgC1QAwuLCIgHx0RDgIABQcrS7BfUFhAFycXCAMDAAEeAgECAAAOHwQBAwMMAyADG0uwbFBYQBcnFwgDAwABHgIBAgAADh8EAQMDDwMgAxtLsMhQWEAVJxcIAwMAAR4CAQIAAwA0BAEDAysDG0uw6FBYQBknFwgDAwABHgABAAE0AgEAAwA0BAEDAysEG0AhJxcIAwQCAR4AAQABNAAAAgA0AAIEAjQABAMENAADAysGWVlZWbA4KxMzMhYXEx4BFz4BNwE+ATsBMhYXEx4BFz4BNwE+ATsBASMiJwMuAScOAQcBBisBUYUUGQJdBQEBDBkOARUGGxFKFBYCcQYHAwoTDgEABhwSgP5XhxcGewMEAgUKB/7bDhqCA/UUEf10I0EgIEEjApAPFBQP/XAjQiEgQyMCjBAV/AsiAq8QIRARIBH9UiIAAAAAAf/OAAADsgP1ABwApEAKHBoSEA4MAwEEBytLsF9QWEAWFQ8AAwIAAR4BAQAADh8DAQICDAIgAxtLsGxQWEAWFQ8AAwIAAR4BAQAADh8DAQICDwIgAxtLsOhQWEAiFQ8AAwIAAR4BAQACAgABACMBAQAAAgEAJAMBAgACAQAhBBtAKRUPAAMDAQEeAAEDAgEBACMAAAADAgADAQAmAAEBAgEAJAACAQIBACEFWVlZsDgrAQMzMhYXEz4BNxM+ATsBCQEjIiYnAwYHAQ4BKwEBaPOfFBEHqgULCOULEg2h/pYBDp8UFge/Cgv+7AoYEpwCIQHUCw7+pAsUCwEvDg7+K/3gFQ4BlRYQ/pAOFAAAAAABAFH+qQPoA/UAFQCbQAgVEwcFAwEDBytLsElQWEAUDQQCAAEBHgIBAQEOHwAAABAAIAMbS7BsUFhAFg0EAgABAR4AAAABAQAkAgEBAQ4AIAMbS7DoUFhAIA0EAgABAR4CAQEAAAEBACMCAQEBAAEAJAAAAQABACEEG0AmDQQCAAIBHgACAQABAgAyAAECAAEBACMAAQEAAQAkAAABAAEAIQVZWVmwOCsBBisBEwEzMhYXEx4BFz4BNwE+ATsBATwVKYLb/vqTFRUEowUGAgkRCwFACB0Pjf7SKQGTA7kVEP2CFSoVFSsVAn8QEwAAAAABAAMAAANZA/UADwB5QAoPDg0MBwYFBAQHK0uwX1BYQBoAAgIDAAAkAAMDDh8AAAABAAAkAAEBDAEgBBtLsGxQWEAaAAICAwAAJAADAw4fAAAAAQAAJAABAQ8BIAQbQCEAAwACAAMCAAAmAAABAQAAACMAAAABAAAkAAEAAQAAIQRZWbA4KwEOAQcBIQchNz4BNwEhNyEDUAISC/24AfQQ/TYJAhEMAkv+FBECvgOpEyMO/SaLSg0jEALfjAAAAAABADH+4QJZBfwARQBLQA49OzMwGBUSEAUEAwIGBytANSYBAAE6AQUEAh4AAgADAQIDAQAmAAEAAAQBAAEAJgAEBQUEAQAjAAQEBQEAJAAFBAUBACEGsDgrEzQmIzcyNjU0LgI1ND4COwEHDgErASIOAhUcARYUFRQOAgceARUUDgIVFBY7ATIWFRQOAhUHIyIuAjU0PgKeODUNSkkDAwMtWYRWMQkCHwoSJ0IvGgEiMzsZNUAeIx5DPRMKFwIBAgQyRWZDIiAmIAHFNEJod3wWNTc1FmGYaTdNFBAeRW9RFDs/PBNNZ0EhBxFbPzxyc3U/RlUPEQMODwwBJShHYjpCeHNxAAEAq/6pATUF/QADADxABgMCAQACBytLsElQWEAOAAAAAQAAJAABARABIAIbQBcAAAEBAAAAIwAAAAEAACQAAQABAAAhA1mwOCsTMxEjq4qKBf34rAAAAAAB//D+4gIYBf0ARwBLQA4/PTUyGhcSEAUEAwIGBytANTwBBAUoAQEAAh4ABQAEAAUEAQAmAAAAAQMAAQEAJgADAgIDAQAjAAMDAgEAJAACAwIBACEGsDgrARQWMwciBhUUHgIVFA4CKwE3PgM7ATI+AjU8ASY0NTQ+AjcuATU0PgI1NCYrASImNTQ+AjU3MzIeAhUUDgIBqzg1DUpJAwMDLVmEVjEJAQoNDgUSJ0IvGgEiMzsZNUAeIx5DPRMKFwIBAgQyRWZDIiAmIAMZNEJod3wWNTc1FmGYaTdNCg0JBB5Fb1ETPD87FExoQSEHEVs/PHJzdT9GVQ8RAw4PDAElKEdiOkJ4c3EAAAAAAQA5AZ4D1wMAABsAR0ASAQAYFhIRDw0KCAQDABsBGwcHK0AtAAEFATQABAIENQYBAAMCAAEAIwAFAAMCBQMBACYGAQAAAgEAJAACAAIBACEGsDgrATI2NzMUDgIjIi4CIyIGByM0PgIzMh4CArxBSQGQJUVmQDRmX1YkQUkBkCVFZUE0Zl9WAmVVRkNwUCwgJyFUR0NwUC0hJyEAAgCU/qgB7QQFAA0AIQB9QA4AAB4cFBIADQANBwYFBytLsElQWEAbAAMDAgEAJAACAhQfAAAAAQAAJAQBAQEQASAEG0uwbFBYQBgAAAQBAQABAAAlAAMDAgEAJAACAhQDIAMbQCIAAgADAAIDAQAmAAABAQAAACMAAAABAAAkBAEBAAEAACEEWVmwOCsbAT4DNzMOAwcLATQ+AjMyHgIVFA4CIyIuApRDBg0PEgpoAgUGBwZCLhMiLRsaLSIUFCItGhstIhP+qAIeLVVXXDQ1XFZVLf3iBN8aLiIUFCIuGhstIhMTIi0AAAIAiv8TBCYE5gAvADgA+UASNTQvLSopIyEeHRgWDw0KCQgHK0uwCVBYQEITEAIHACUBAwQAAQUDAx4AAQABNAACBwQHAgQyAAQDBwQDMAAGBQY1AAcHAAEAJAAAABQfAAMDBQEAJAAFBRIFIAkbS7BsUFhAQhMQAgcAJQEDBAABBQMDHgABAAE0AAIHBAcCBDIABAMHBAMwAAYFBjUABwcAAQAkAAAAFB8AAwMFAQAkAAUFFQUgCRtASRMQAgcAJQEDBAABBQMDHgABAAE0AAIHBAcCBDIABAMHBAMwAAYFBjUAAAAHAgAHAQAmAAMFBQMBACMAAwMFAQAkAAUDBQEAIQlZWbA4KwUuAzU0PgI/AT4BOwEHHgEXBw4BIyIuAicDPgMzMh8BDgMPAQ4BKwEDFBYXEw4DAfdSh2A0TZDRhCIEHhRALVJ9MDQIEQ4MHis9KpNAWz8qEBYJJyFTYGk2IQQdFUCZdGqSWoldMAoJRHGbYH7XnlwDtRMd6gs/MTwLCRIYGAf8/QQfIhsPPCM2JhYDsRMdAqSEoRUDAAZEdqMAAAEADwAABIQFpwA+AStAFD08NzUvLSclIB4bGhMRDAoEAgkHK0uwX1BYQDgrAQYHCAECAQIeAAYHBAcGBDIIAQQDAQABBAABACYABwcFAQAkAAUFER8AAQECAQAkAAICDAIgBxtLsGxQWEA2KwEGBwgBAgECHgAGBwQHBgQyAAUABwYFBwEAJggBBAMBAAEEAAEAJgABAQIBACQAAgIPAiAGG0uw6FBYQD8rAQYHCAECAQIeAAYHBAcGBDIABQAHBgUHAQAmCAEEAwEAAQQAAQAmAAECAgEBACMAAQECAQAkAAIBAgEAIQcbQEcrAQYHCAECAQIeAAYHBAcGBDIABQAHBgUHAQAmAAQAAwAEAwAAJgAIAAABCAABACYAAQICAQEAIwABAQIBACQAAgECAQAhCFlZWbA4KwEOASMhAw4BBz4BMyEHDgMjITc+AzcTIzc+ATsBEz4DMzIeAhcHBiMiJicuAyMiDgIHAyEHA3oCHxf+WR8JNjAdPB0CrgkCDRcdEfw7DiM5KxsGJKMIAh8XcSEMUIGwbVR7WDkSSxQUDhgIESMySDRBa1EzCCAB2AcClREd/wBLaioGB0kNGxYOcAofL0MuAS5GEhwBCV6lekYmQls1LAoKDhswJBQrT3BF/vZGAAAAAgCrAOAEKwRgACMANwCVQAo0MiooHBoKCAQHK0uwbFBYQDgODAYEBAMAIRUPAwQCAx4YFgMBAgMeDQUCABwgHxcDARsAAgABAgEBACUAAwMAAQAkAAAAFAMgBhtAQg4MBgQEAwAhFQ8DBAIDHhgWAwECAx4NBQIAHCAfFwMBGwAAAAMCAAMBACYAAgEBAgEAIwACAgEBACQAAQIBAQAhB1mwOCsBNDY3JzcXPgEzMhYXNxcHHgEVFAYHFwcnDgEjIiYnByc3LgE3FB4CMzI+AjU0LgIjIg4CAQYhHZlblyxoOjlmK5lZlx8iIR2YW5gsaDk5ZSyZWpgfIYQjPlEvL1M9JCQ9Uy8vUT4jAqA5ZSyZWpgfIiEemVuYLGc6OWYrl1yYHyEhHZlbmCxnOi5RPSQkPVEuL1I+IyM+UgAAAAABAH4AAATEBZcAIgESQBgiISAfHh0cGxoZGBcWFRQTEhAEAgEACwcrS7BfUFhAKwoBAAEBHgMBAAoBBAUABAACJgkBBQgBBgcFBgAAJgIBAQELHwAHBwwHIAUbS7BsUFhAKwoBAAEBHgIBAQABNAMBAAoBBAUABAACJgkBBQgBBgcFBgAAJgAHBw8HIAUbS7DoUFhANwoBAAEBHgIBAQABNAAHBgc1AwEACgEEBQAEAAImCQEFBgYFAAAjCQEFBQYAACQIAQYFBgAAIQcbQEoKAQACAR4AAQIBNAACAAI0AAcGBzUAAAAKBAAKAAImAAMABAUDBAAAJgAFCQYFAAAjAAkACAYJCAAAJgAFBQYAACQABgUGAAAhCllZWbA4KxMhATMyFhcTHgEXPgE3AT4BOwEBIQchByEHIQMjEyE3ITchowE2/sqQGBwH0wwKBAkXFAFfCyIYkf4CATYL/qkNAVYM/qonrCf+qQ0BVg3+qQJwAycXFP3DITocHDsgAj0RGvzZY2lj/r8BQWNpAAAAAgCr/qkBNQX9AAMABwBUQAoHBgUEAwIBAAQHK0uwSVBYQBgAAAABAgABAAAmAAICAwAAJAADAxADIAMbQCEAAAABAgABAAAmAAIDAwIAACMAAgIDAAAkAAMCAwAAIQRZsDgrEzMRIxEzESOrioqKigX9/Ob+4fzlAAAAAAIAO/+DA38FpgBGAFYAl0AOREIrKSYkHx0IBgMBBgcrS7BfUFhAN0YBAQVUTDsWBAMAIQECBAMeAAABAwEAAzIAAwQBAwQwAAQAAgQCAQAlAAEBBQEAJAAFBREBIAYbQEFGAQEFVEw7FgQDACEBAgQDHgAAAQMBAAMyAAMEAQMEMAAFAAEABQEBACYABAICBAEAIwAEBAIBACQAAgQCAQAhB1mwOCsBBiMiLgIjIg4CFRQeBBUUBgceARUUDgIjIiYnNz4BMzIeAjMyPgI1NC4GNTQ2Ny4BNTQ+AjMyFhcBFB4CFz4BNTQuAicOAQNSDxcPIS9CMC9LNh1EZnZmRFlfJS02ZpNeYZkwMAkWEhIhMEk6Mk83HSlCVVlVQilhZyUuM2GLV1uML/2cOlpuMzoyNlVnMUU5BPMWFxsXHC4+Ii5BODhKZEhbjykhVTlKgWA3RDZCDQwcIhwdM0UpKTwwKCowP1I4WYwnIlg+QXZaNT42/ZUvQjgyHh1WNTFENzAcI1AAAAAAAgBeBLACpgWRABMAJwBvQAokIhoYEA4GBAQHK0uwX1BYQBACAQAAAQEAJAMBAQELACACG0uw6FBYQBoDAQEAAAEBACMDAQEBAAEAJAIBAAEAAQAhAxtAIQABAwABAQAjAAMAAgADAgEAJgABAQABACQAAAEAAQAhBFlZsDgrARQOAiMiLgI1ND4CMzIeAgUUDgIjIi4CNTQ+AjMyHgIBPxIgKRcXKB4SEh4oFxcpIBIBZxIfKRcXKR4SEh4pFxcpHxIFHxcoHhISHigXFyofEhIfKhcXKB4SEh4oFxcqHxISHyoAAwBd//IGEgWoACsARwBhAWJAGgEAXFpQTkJANDIoJh4cGRcSEAgGACsBKwsHK0uwCVBYQEgUAQQCBAEFAAIeAAMEAAQDADIKAQAFBAAFMAACAAQDAgQBACYABQABCAUBAQAmAAkJBgEAJAAGBhEfAAgIBwEAJAAHBxIHIAkbS7BfUFhASBQBBAIEAQUAAh4AAwQABAMAMgoBAAUEAAUwAAIABAMCBAEAJgAFAAEIBQEBACYACQkGAQAkAAYGER8ACAgHAQAkAAcHFQcgCRtLsGxQWEBGFAEEAgQBBQACHgADBAAEAwAyCgEABQQABTAABgAJAgYJAQAmAAIABAMCBAEAJgAFAAEIBQEBACYACAgHAQAkAAcHFQcgCBtATxQBBAIEAQUAAh4AAwQABAMAMgoBAAUEAAUwAAYACQIGCQEAJgACAAQDAgQBACYABQABCAUBAQAmAAgHBwgBACMACAgHAQAkAAcIBwEAIQlZWVmwOCsBMhYfAQ4BIyIuAjU0PgIzMhYXBw4BIyIuAiMiDgIVFB4CMzI+AiU0PgQzMh4EFRQOBCMiLgQ3FB4EMzI+BDU0LgIjIg4EBDsJCQU8OaV0YqFzP0R6p2JtlzkuBRALDh8yTTpHcFAqKktnPj9WOSH8LjRghaK6ZWW7ooZfNDRfhqK7ZWS7ooVgNGUsUXOLolhYo41zUi1jq+iEWKKLc1EsAdoGBUBCSUR6qGRlqXlDQzhBBgwWGxctVHhLTXlSKxkdGfJlu6OFYDQ0YIWju2Vku6KFYDQ0YIWiumVZpI90Uy0tU3SPpFmG669lLlN2j6YAAgCPAz8CgwWpAC0AOQDvQBovLgEAMzIuOS85JSMeHBkXERAKCAAtAS0KBytLsDZQWEA2IQEDBQQBAAYCHgAEAwIDBAIyAAIABwYCBwEAJgkBBgEIAgAGAAEAJQADAwUBACQABQURAyAGG0uwX1BYQD0hAQMFBAEABgIeAAQDAgMEAjIIAQAGAQYAATIAAgAHBgIHAQAmCQEGAAEGAQEAJQADAwUBACQABQURAyAHG0BIIQEDBQQBAAYCHgAEAwIDBAIyCAEABgEGAAEyAAUAAwQFAwEAJgACAAcGAgcBACYJAQYAAQYBACMJAQYGAQEAJAABBgEBACEIWVmwOCsBIiYvAQ4DIyImNTQ+Aj8BNjQ1NCYjIg4CIyImLwE+ATMyHgIVFAYHAycyNj8BDgMVFBYCGBEUAgUZLjA0H0FSJVaOagUBKDAiMCQeDw4QBBE2eEQsRC8YAQEv/y5HJA1CXDkZKgNICRMxFSAWC0VEKEs7JgMmBwwGLjYSFRIOCigyLh80RygIEgj+g1AmI20CEh4qGiIeAAAAAgCFAIEC/QOgABIAJQAJQAYVJQISAgsrEzcBFxYVFAcDBgcWFxMWFRQPARM3ARcWFRQHAwYHFhcTFhUUDwGFAwEWNBcPrxAQCg1vBiA7XQMBFjQXD68QEAoNbwYgOwIGFgGEGwwWFBP++RkLChr++Q4NIA8bAYUWAYQbDBYUE/75GQsKGv75Dg0gDxsAAAAAAQClAT4EDwLgAAUAUkAIBQQDAgEAAwcrS7AJUFhAHQABAgIBKQAAAgIAAAAjAAAAAgAAJAACAAIAACEEG0AcAAECATUAAAICAAAAIwAAAAIAACQAAgACAAAhBFmwOCsTIQMjEyG0A1s0kyT9OQLg/l4BIAABAGECDgI8AqAAAwAlQAYDAgEAAgcrQBcAAAEBAAAAIwAAAAEAACQAAQABAAAhA7A4KxMhByFzAckT/jgCoJIABABe//IGFAWoABsAMwBJAFYBjkAaNDRWVExKNEk0SERCOTc2NTAuJCIWFAgGCwcrS7AJUFhAPj4BBwgBHgYBBAcCBwQCMgAFAAkIBQkBACYACAoBBwQIBwEAJgADAwABACQAAAARHwACAgEBACQAAQESASAIG0uwX1BYQD4+AQcIAR4GAQQHAgcEAjIABQAJCAUJAQAmAAgKAQcECAcBACYAAwMAAQAkAAAAER8AAgIBAQAkAAEBFQEgCBtLsGxQWEA8PgEHCAEeBgEEBwIHBAIyAAAAAwUAAwEAJgAFAAkIBQkBACYACAoBBwQIBwEAJgACAgEBACQAAQEVASAHG0uw6FBYQEU+AQcIAR4GAQQHAgcEAjIAAAADBQADAQAmAAUACQgFCQEAJgAICgEHBAgHAQAmAAIBAQIBACMAAgIBAQAkAAECAQEAIQgbQEs+AQcIAR4ABgcEBwYEMgAEAgcEAjAAAAADBQADAQAmAAUACQgFCQEAJgAICgEHBggHAQAmAAIBAQIBACMAAgIBAQAkAAECAQEAIQlZWVlZsDgrEzQ+BDMyHgQVFA4EIyIuBDcUHgQzMj4ENTQuAiMiDgIFESMRITIWFRQGBx4BFxMjIicDLgEjJzMyPgI1NC4CKwFeNGCFo7plZbqjhWA0NGCFo7plZbqjhWA0ZSxScoyiWFiijXNSLWOr54SE5qpiAeacASCspmtqERgN45QhEMkJGRpQczhNLxUTK0Y0hALMZbujhWA0NGCFo7tlZLuihWA0NGCForplWaSPdFMtLVN0j6RZhuuvZWWv6+D+ngN8fXpehBkKHxP+shkBLg4NchUoOiYlOCQSAAAAAQBwBNACkAVBAAMAJUAGAwIBAAIHK0AXAAABAQAAACMAAAABAAAkAAEAAQAAIQOwOCsTIQchfgISDv3uBUFxAAIAjgMnAxkFqgATACcAU0AKJCIaGBAOBgQEBytLsF9QWEAXAAIAAQIBAQAlAAMDAAEAJAAAABEDIAMbQCEAAAADAgADAQAmAAIBAQIBACMAAgIBAQAkAAECAQEAIQRZsDgrEzQ+AjMyHgIVFA4CIyIuAjcUHgIzMj4CNTQuAiMiDgKOM1h2REV3WDIyWHdFRHZYM30fNkkqKkk2Hh42SSoqSTYfBGhDdlcyMld2Q0J1VzMzV3VBKkk2Hx82SSoqSjcfHzdKAAAAAgAzAFAESwSvAAsADwCRQBYAAA8ODQwACwALCgkIBwYFBAMCAQkHK0uw6FBYQDEIAQUABTQAAgEGAQIGMgQBAAMBAQIAAQACJgAGBwcGAAAjAAYGBwAAJAAHBgcAACEGG0A5CAEFAAU0AAIBBgECBjIABAADAQQDAAAmAAAAAQIAAQACJgAGBwcGAAAjAAYGBwAAJAAHBgcAACEHWbA4KwEDIQchAyMTITchEwEhByEC3y8BmxD+ZS2MLf5qDwGXL/3vA70Q/EQEr/6Fg/6OAXKDAXv8JIMAAQCBA4QCrwZkAC0AgEAQAQAoJiMhFRQNCgAtAS0GBytLsGxQWEArKwEEAwkBAgECHgAEAwEDBAEyBQEAAAMEAAMBACYAAgIBAQAkAAEBDgIgBRtANCsBBAMJAQIBAh4ABAMBAwQBMgUBAAADBAADAQAmAAECAgEBACMAAQECAAAkAAIBAgAAIQZZsDgrATIWFRQOAg8BNjsBMhYVFAYHBgchNz4BPwE+AzU0JiMiBgcGIyImLwE+AQHiYG0cMD8ixzIqyhITAgICAv4DBQIMDfofNigXNioqQRcOIQQIBUMdlQZkZFMsSEE8H7UOEg8LHQwPDioMHAvcGzg5Oh4tMCsyHgEBDGppAAAAAAEApQN8AsAGZAA6ALJAFgEAMzEuLCgnJiUfHRgWEA4AOgE6CQcrS7A+UFhAQTYBBwYHAQQFFAEDAgMeAAcGBQYHBTIAAgQDBAIDMggBAAAGBwAGAQAmAAUABAIFBAEAJgABAQMBACQAAwMOASAHG0BKNgEHBgcBBAUUAQMCAx4ABwYFBgcFMgACBAMEAgMyCAEAAAYHAAYBACYABQAEAgUEAQAmAAMBAQMBACMAAwMBAQAkAAEDAQEAIQhZsDgrATIeAhUUBx4BFRQOAiMiLgInNzYzMhceAzMyPgI1NCYjNz4BNTQmIyIGBwYjIiYvAT4DAfYuSzUcizk4ME5kNDhRNyIJOg8NHAgEDhorISI1JRRGVgtbUzUsMj0UDh0ECAVADjVIVwZkGi0+JIwtEUU3PF0/IRkxRy8YBhcOIRwTFiUwGjExWQI9PiwtLisfAQEMNFA0GwAAAQEHBIsCpAWnAAkAM0AKAAAACQAIBQMDBytLsF9QWEANAAABADUCAQEBEQEgAhtACwIBAQABNAAAACsCWbA4KwEDDgErATc+ATMCpPgOHRRmpg4iHwWn/v8PDPIWFAAAAQAR/qgDvQPzACUBUEASAAAAJQAlHx0WFA8NDAsIBgcHK0uwSVBYQCUSAQABGAECAAIeBgUCAQEOHwAAAAIBAiQDAQICDB8ABAQQBCAFG0uwW1BYQCUSAQABGAECAAIeAAQCBDUGBQIBAQ4fAAAAAgECJAMBAgIMAiAFG0uwX1BYQCkSAQABGAEDAAIeAAQCBDUGBQIBAQ4fAAAAAwECJAADAwwfAAICDAIgBhtLsGxQWEApEgEAARgBAwACHgAEAgQ1BgUCAQEOHwAAAAMBAiQAAwMPHwACAg8CIAYbS7DoUFhANBIBAAEYAQMAAh4ABAIENQYFAgEAAgEAACMAAAADAgADAQImBgUCAQECAQAkAAIBAgEAIQYbQDkSAQAFGAEDAAIeBgEFAQABBQAyAAQCBDUAAQUCAQAAIwAAAAMCAAMBAiYAAQECAQAkAAIBAgEAIQdZWVlZWbA4KwEDBhQVFBYzMjY3EzMDIyImPQEOASMiJicVFAYHAyMiJjU8ATcTAVxTAlZRRoQ9Xat8ZxIXRodQQV4eBQQjVSAlAZ4D8/1ZCxMKUllKQgLu/A0SEmxIQy8rECRIIP7lIB0DBwMFAQABAGv/NwWJBZkAEwCiQBIAAAATABIKCQgHBgUEAwIBBwcrS7BfUFhAHQAEAAEABAEyAwEBATMCAQAABQEAJAYBBQULACAEG0uw6FBYQCcABAABAAQBMgMBAQEzBgEFAAAFAQAjBgEFBQAAACQCAQAFAAAAIQUbQDIAAAIEAgAqAAQDAgQDMAADAQIDATAAAQEzBgEFAgIFAQAjBgEFBQIAACQAAgUCAAAhB1lZsDgrAQcjAyMTIQMjEyIuAjU0PgIzBYkT3LWdtv7rtp1qXZZpOUiDuHEFmZn6NwXJ+jcDXTJafk1anXRDAAAAAAEAlAG9Ab4C6AATACVABhAOBgQCBytAFwAAAQEAAQAjAAAAAQEAJAABAAEBACEDsDgrEzQ+AjMyHgIVFA4CIyIuApQXKTYeHzcoGBgoNx8eNikXAlEfOCgYGCg4Hx42KRcXKTYAAAAAAQAX/qEBdwAKABsAw0AOAQAXFQ0MBgQAGwEbBQcrS7AJUFhAIQ4LAgACGQEDAAIeAAIAAAIoAQQCAAADAQIkAAMDEAMgBBtLsBVQWEAgDgsCAAIZAQMAAh4AAgACNAEEAgAAAwECJAADAxADIAQbS7BJUFhAJA4LAgACGQEDAQIeAAIAAjQEAQABADQAAQEDAQIkAAMDEAMgBRtALQ4LAgACGQEDAQIeAAIAAjQEAQABADQAAQMDAQEAIwABAQMBAiQAAwEDAQIhBllZWbA4KxcyHgIzMjY1NCYnNzMHHgEVFA4CIyImJzc2RQYOFBoUKCtHQjprIEpDITtRMCZCGxcI+QgJCCgeIx0JjVIRPy4kOScVEQ81EQAAAAABAOQDhAJ6Bl4AEACfQAwQDw4NDAsHBQEABQcrS7AyUFhAIAoDAgECAR4AAgECNAABAAE0AAQEAAAAJAMBAAAOBCAFG0uw6FBYQCoKAwIBAgEeAAIBAjQAAQABNAMBAAQEAAAAIwMBAAAEAAIkAAQABAACIQYbQC8KAwIBAgEeAAIBAjQAAQABNAADAAQAAyoAAAMEAAAAIwAAAAQAAiQABAAEAAIhB1lZsDgrEzMTNwcGIyImLwE3MwMzByHwkzYKeQwOCw8EIPVoTnkL/nUD4QG0LFwJCQY2vf2DXQAAAAIAjgM8AtAFqAATACEAYEASFRQBABsZFCEVIQsJABMBEwYHK0uwX1BYQBkFAQIAAQIBAQAlAAMDAAEAJAQBAAARAyADG0AkBAEAAAMCAAMBACYFAQIBAQIBACMFAQICAQEAJAABAgEBACEEWbA4KwEyHgIVFA4CIyIuAjU0PgITMjY1NCYjIg4CFRQWAdY6XUEiMFV4SDteQSMwV3kKWllBPzJFKxRABaglRWE8UoRdMiVFYjxRhF0y/fuJdUtVJkNeOEtUAAAAAgB3AIEC7gOgABIAJQAJQAYlFRICAgsrAQcBJyY1NDcTNjcmJwMmNTQ/AQEHAScmNTQ3EzY3JicDJjU0PwEB2gL+6zUXDbIQDg0JcAYhOwHKAv7rNRcNshAODQlwBiE7AhwW/nsbCxgQFwEHGAsMGQEHDQ0gDxv+fBb+exsLGBAXAQcYCwwZAQcNDSAPGwAABADEAAAFawWZABAAGgArADEB00AcMTArKikoJyYiIBwbGhgVExAPCwkIBwYEAQANBytLsF9QWEBFJR4CCAYvAQALDg0CAQADHgAIBgcGCAcyAAQHCwcECzIKAQcACwAHCwACJgwBAAMBAQIAAQECJgkBBgYLHwUBAgIMAiAHG0uwbFBYQEIlHgIIBi8BAAsODQIBAAMeCQEGCAY0AAgHCDQABAcLBwQLMgoBBwALAAcLAAImDAEAAwEBAgABAQImBQECAg8CIAcbS7DIUFhATiUeAggGLwEACw4NAgEAAx4JAQYIBjQACAcINAAEBwsHBAsyBQECAQI1CgEHAAsABwsAAiYMAQABAQAAACMMAQAAAQECJAMBAQABAQIhCRtLsOhQWEBSJR4CCAYvAQALDg0CAQADHgAJBgk0AAYIBjQACAcINAAEBwsHBAsyBQECAQI1CgEHAAsABwsAAiYMAQABAQAAACMMAQAAAQECJAMBAQABAQIhChtAZCUeAggGLwEACw4NAgMMAx4ACQYJNAAGCAY0AAgHCDQACgcEBwoqAAQLBwQLMAAFAQIBBQIyAAICMwAHAAsABwsAAiYAAAwBAAAAIwAMAAMBDAMBACYAAAABAQIkAAEAAQECIQ1ZWVlZsDgrATMHDgErAQcjNyEiJi8BATMBDgErAQE+ATsBATMTNwcGIyImLwE3MwMzByEFPgE3ATME/W4IAg4NVRVqFv7NERMBBAGSd/yEFS8dRgOcFDEhR/t1kzYKeQ4MCw8EIPVoTnkL/nUD7gIIBv7q6AEUSQsPsbEQDD4Bzf1dIBUFWx0f/YUBtCxcCQkGNr39g129EywY/rsAAwDJAAAFXAWZAAkANwBIAd1AHgsKSEdGRURDPz05ODIwLCoeHRcUCjcLNwkHBAINBytLsF9QWEBKQjsCCAE1AQYFEwEAAwMeAAgBBwEIBzIABgUDBQYDMgoBBwALBQcLAAImDAECAAUGAgUBACYJAQEBCx8AAwMAAQIkBAEAAAwAIAgbS7BsUFhAR0I7AggBNQEGBRMBAAMDHgkBAQgBNAAIBwg0AAYFAwUGAzIKAQcACwUHCwACJgwBAgAFBgIFAQAmAAMDAAECJAQBAAAPACAIG0uwyFBYQFBCOwIIATUBBgUTAQADAx4JAQEIATQACAcINAAGBQMFBgMyCgEHAAsFBwsAAiYMAQIABQYCBQEAJgADAAADAQAjAAMDAAECJAQBAAMAAQIhCRtLsOhQWEBUQjsCCAE1AQYFEwEAAwMeAAkBCTQAAQgBNAAIBwg0AAYFAwUGAzIKAQcACwUHCwACJgwBAgAFBgIFAQAmAAMAAAMBACMAAwMAAQIkBAEAAwABAiEKG0BeQjsCCAE1AQYFEwEEAwMeAAkBCTQAAQgBNAAIBwg0AAoHAgcKKgAGBQMFBgMyAAAEADUABwALBQcLAAImDAECAAUGAgUBACYAAwQEAwEAIwADAwQAAiQABAMEAAIhDFlZWVmwOCslDgErAQE+ATsBAzIWFRQOAg8BNjsBMhYVHAEPASE3PgE/AT4DNTQmIyIGBw4BIyImLwE+ASUzEzcHBiMiJi8BNzMDMwchAZMVLx1GA5wUMSFHpmBtHzNDJLsyKsoSEwIG/gMFAgwN+h82KBc2Ki89FgkWEQQNFysdlfyskzYKeQwOCw8EIPVoTnkL/nU1IBUFWx0f/UlkUy1MQz4hqg4SDwIHEDgqDBwL3Bs4OToeLTA0KRANAQQIamk8AbQsXAkJBja9/YNdAAAABACTAAAFegWfABAAGgBUAFoCg0AmHBtaWU1LR0VBQD8+ODYzMSspG1QcVBoYFRMQDwsJCAcGBAEAEQcrS7A8UFhAZVABDg0iAQsMLwEKCVgBAAgODQIBAAUeAA4NDA0ODDIACQsKCwkKMgAECggKBAgyAAwACwkMCwEAJgAKAAgACggBACYPAQADAQECAAEBAiYADQ0GAQAkEAcCBgYLHwUBAgIMAiAKG0uwX1BYQGlQAQ4NIgELDC8BCglYAQAIDg0CAQAFHgAODQwNDgwyAAkLCgsJCjIABAoICgQIMgAMAAsJDAsBACYACgAIAAoIAQAmDwEAAwEBAgABAQImAAYGCx8ADQ0HAQAkEAEHBwsfBQECAgwCIAsbS7BsUFhAalABDg0iAQsMLwEKCVgBAAgODQIBAAUeAAYHDQcGDTIADg0MDQ4MMgAJCwoLCQoyAAQKCAoECDIQAQcADQ4HDQEAJgAMAAsJDAsBACYACgAIAAoIAQAmDwEAAwEBAgABAQImBQECAg8CIAobS7DoUFhAdlABDg0iAQsMLwEKCVgBAAgODQIBAAUeAAYHDQcGDTIADg0MDQ4MMgAJCwoLCQoyAAQKCAoECDIFAQIBAjUQAQcADQ4HDQEAJgAMAAsJDAsBACYACgAIAAoIAQAmDwEAAQEAAAAjDwEAAAEBAiQDAQEAAQECIQwbQINQAQ4NIgELDC8BCglYAQAIDg0CAw8FHgAGBw0HBg0yAA4NDA0ODDIACQsKCwkKMgAECggKBAgyAAUBAgEFAjIAAgIzEAEHAA0OBw0BACYADAALCQwLAQAmAAoACAAKCAEAJgAADwEAAAAjAA8AAwEPAwEAJgAAAAEBAiQAAQABAQIhDllZWVmwOCsBMwcOASsBByM3ISImLwEBMwEOASsBAT4BOwElMh4CFRQHHgEVFA4CIyIuAic3NjMyFx4BMzI+AjU0JiM3PgE1NCYjIgYHDgEjIiYvAT4DAT4BNwEzBQxuCAIODVUVahb+zRETAQQBknf8iRUvHUYDnBQxIUf8dS5LNRyLOTgwTmQ0OFE3Igk6Dw0cCA40NiI1JRRGVgtbUzUsMkAPCBgOBAsQMQ41SFcDDQIIBv7q6AEUSQsPsbEQDD4Bzf1dIBUFWx0fCBotPiSMLRFFNzxdPyEZMUcvGAYXLDIWJTAaMTFZAj0+LC0wJRQOAQMJNFA0G/xjEywY/rsAAv/n/psCdQQFACcAOwC5QA44Ni4sJiQhHxMSBgQGBytLsElQWEAvAAECAwEeAAEFAwUBAzIAAwIFAwIwAAUFBAEAJAAEBBQfAAICAAEAJAAAABYAIAcbS7BsUFhALAABAgMBHgABBQMFAQMyAAMCBQMCMAACAAACAAEAJQAFBQQBACQABAQUBSAGG0A2AAECAwEeAAEFAwUBAzIAAwIFAwIwAAQABQEEBQEAJgACAAACAQAjAAICAAEAJAAAAgABACEHWVmwOCsFDgMjIi4CNTQ+BD8BMwcOBRUUHgIzMj4CMzIXATQ+AjMyHgIVFA4CIyIuAgJ1IUxXYjhEb1EsL0lXTjoJJHUJAzFIU0YvGi07ITdTPCcMFgv+/xMhLRsaLiITEyIuGhstIRPVHTQnGCdIZ0FRc1M8NTYkm6gtQjo4Q1Y7KT8rFh4kHhUEExouIhQUIi4aGy0iExMiLQAA////wQAABJwG9QImACQAAAAHANgBTwAA////wQAABJwG9QImACQAAAAHANoBXwAA////wQAABJwG2wImACQAAAAHANsBTwAA////wQAABJwG0AImACQAAAAHAN0BTwAA////wQAABJwG6AImACQAAAAHANkBTwAA////wQAABJwHLQImACQAAAAHANwBUAAAAAL/qAAABr4FmQASABgBGkAUFBMSEA0MCwoJCAcGBQQDAgEACQcrS7BfUFhANBUBAQEdAAIAAwgCAwAAJgAIAAYECAYAACYAAQEAAAAkAAAACx8ABAQFAQAkBwEFBQwFIAcbS7BsUFhAMhUBAQEdAAAAAQIAAQAAJgACAAMIAgMAACYACAAGBAgGAAAmAAQEBQEAJAcBBQUPBSAGG0uw6FBYQDsVAQEBHQAAAAECAAEAACYAAgADCAIDAAAmAAgABgQIBgAAJgAEBQUEAAAjAAQEBQEAJAcBBQQFAQAhBxtAQhUBAQEdAAcEBQQHBTIAAAABAgABAAAmAAIAAwgCAwAAJgAIAAYECAYAACYABAcFBAAAIwAEBAUAACQABQQFAAAhCFlZWbA4KwEhByERIQchESEHIREhAw4BKwEBIREOAQcDBAO6Ev1MAgAT/hMCKhT9Ov4HzQsmGJEB9wGpDh4RBZmZ/hyT/g+YAYv+ohIbAhMC7SRAHQABAGT+oQT4BakASgIoQBgBAEZEPDs2NC8tJSMgHhcVBgQASgFKCgcrS7AJUFhASxsBAwQ5AQUGPQwLAwAHSAEIAAQeAAMEBgQDBjIABgUEBgUwAAQEAgEAJAACAhEfAAUFBwEAJAAHBxIfAQkCAAAIAQAkAAgIEAggCRtLsBVQWEBLGwEDBDkBBQY9DAsDAAdIAQgABB4AAwQGBAMGMgAGBQQGBTAABAQCAQAkAAICER8ABQUHAQAkAAcHFR8BCQIAAAgBACQACAgQCCAJG0uwSVBYQFIbAQMEOQEFBj0MCwMAB0gBCAEEHgADBAYEAwYyAAYFBAYFMAkBAAcBBwABMgAEBAIBACQAAgIRHwAFBQcBACQABwcVHwABAQgBACQACAgQCCAKG0uwX1BYQE8bAQMEOQEFBj0MCwMAB0gBCAEEHgADBAYEAwYyAAYFBAYFMAkBAAcBBwABMgABAAgBCAEAJQAEBAIBACQAAgIRHwAFBQcBACQABwcVByAJG0uwbFBYQE0bAQMEOQEFBj0MCwMAB0gBCAEEHgADBAYEAwYyAAYFBAYFMAkBAAcBBwABMgACAAQDAgQBACYAAQAIAQgBACUABQUHAQAkAAcHFQcgCBtAVxsBAwQ5AQUGPQwLAwAHSAEIAQQeAAMEBgQDBjIABgUEBgUwCQEABwEHAAEyAAIABAMCBAEAJgAFAAcABQcBACYAAQgIAQEAIwABAQgBACQACAEIAQAhCVlZWVlZsDgrBTIeAjMyNjU0Jic3LgM1NBI2JDMyHgIXBw4BIyIuAiMiDgIVFB4CMzI+BDMyFh8BDgEPAR4BFRQOAiMiJic3NgH7Bg4UGhQoK0dCMHK1fkJ0ywESnkx8ZlMkQAgUDxIoRW1XdMqUVTpnjlVCZk43KRwLCQwEQVffkhZKQyE7UTAmQhsXCPkICQgoHiMdCXYLZKLagLsBNt97GjJGK04KDSgvKF2t9plvsHtCFiAnIBYHBVFebwg6ET8uJDknFREPNRH//wBhAAAEQQb1AiYAKAAAAAcA2AEkAAD//wBhAAAEQQb1AiYAKAAAAAcA2gEkAAD//wBhAAAEQQbbAiYAKAAAAAcA2wEkAAD//wBhAAAEQQboAiYAKAAAAAcA2QEkAAD//wBWAAACCgb1AiYALAAAAAYA2AEAAAD//wCBAAADBwb1AiYALAAAAAYA2gEAAAD//wBnAAACyAbbAiYALAAAAAYA2wEAAAD//wCBAAACqQboAiYALAAAAAYA2QEAAAAAAgBFAAAFgAWZABAAIQDhQBIeHBsaGRgXFRAPDgwEAgEACAcrS7BfUFhAJgUBAAYBAwcAAwAAJgAEBAEBACQAAQELHwAHBwIBACQAAgIMAiAFG0uwbFBYQCQAAQAEAAEEAQAmBQEABgEDBwADAAAmAAcHAgEAJAACAg8CIAQbS7DoUFhALQABAAQAAQQBACYFAQAGAQMHAAMAACYABwICBwEAIwAHBwIBACQAAgcCAQAhBRtANQABAAQAAQQBACYABQAGAwUGAAAmAAAAAwcAAwAAJgAHAgIHAQAjAAcHAgEAJAACBwIBACEGWVlZsDgrEzMTITIeAhUUAgYEIyETIyU0LgIjIQMhByEDITI+AlOzUAHuhNSVT3DI/u+i/hJRswR7N2aUXf7NPgFcDf6kPwEyeMWOTgMJApBao+OIt/7T13YCm5JsrnlB/ghu/fxbq/UA//8AYQAABUUG0AImADEAAAAHAN0BmgAA//8AZP/xBY4G9QImADIAAAAHANgBvgAA//8AZP/xBY4G9QImADIAAAAHANoBvgAA//8AZP/xBY4G2wImADIAAAAHANsBvgAA//8AZP/xBY4G0AImADIAAAAHAN0BvgAA//8AZP/xBY4G6AImADIAAAAHANkBvgAAAAEAbADdBDkEVwALAAdABAkFAQsrCQIHCQEnCQE3CQEEOf58AThm/sf+blABkf7QZwEwAYQD+P6n/p1dAWT+ml0BZQFbXf6kAVoAAAADADD/kwW/BdkAJQAxAD0BDkAOOjguLCIgGRcPDQgGBgcrS7AgUFhANhsBBAI1KikjEAUFBAoBAAUDHgABAAE1AAMDDR8ABAQCAQAkAAICER8ABQUAAQAkAAAAEgAgBxtLsF9QWEA2GwEEAjUqKSMQBQUECgEABQMeAAMCAzQAAQABNQAEBAIBACQAAgIRHwAFBQABACQAAAASACAHG0uwbFBYQDQbAQQCNSopIxAFBQQKAQAFAx4AAwIDNAABAAE1AAIABAUCBAEAJgAFBQABACQAAAAVACAGG0A9GwEEAjUqKSMQBQUECgEABQMeAAMCAzQAAQABNQACAAQFAgQBACYABQAABQEAIwAFBQABACQAAAUAAQAhB1lZWbA4KwEUDgQjIiYnBw4BKwETLgE1NBI2JDMyFhc3PgM7AQceAQEUFhcBLgEjIg4CJTQmJwEeATMyPgIFjjRfh6fDa2GkQ20YPRtK001ScskBE6For0VZCxITFxBgwEVK+5UrKQLJMoJPdsaOUAOrJCL9PDB3SHjGjk8DMnrauZRoODIviR4YAQlU6Yy3ATPefDs2cA4TCwXwVN/+tGGfPAN/LjFfsPkqWJM7/IcmJ16v+QAA//8Akv/vBSQG9QImADgAAAAHANgBhgAA//8Akv/vBSQG9QImADgAAAAHANoBhgAA//8Akv/vBSQG2wImADgAAAAHANsBhgAA//8Akv/vBSQG6AImADgAAAAHANkBhgAA//8AeQAABPsG9AImADwAAAEHANoBPP//AAmxAQG4//+wDSsAAAIArgAABIUFmQAQABsAmkASERERGxEaFBIQDw4NDAoCAAcHK0uwX1BYQCEAAAYBBQQABQECJgAEAAECBAEBACYAAwMLHwACAgwCIAQbS7BsUFhAIQADAAM0AAAGAQUEAAUBAiYABAABAgQBAQAmAAICDwIgBBtALAADAAM0AAIBAjUAAAYBBQQABQECJgAEAQEEAQAjAAQEAQEAJAABBAEBACEGWVmwOCsBMzIeAhUUDgIrAQMjEzMLATMyPgI1NCYjAffRcqduNkqOzoXRIbqvuzNK0VWCWC6IjASNNmOLVXG9iUz+7wWZ/mH9qzRdgUx0gwABADP/BwQmBa0AUAEgQBQBAExLRkQ9OyUjIB4ZFwBQAVAIBytLsCxQWEA7SkcCAgYBHhsBAwEdAAIGAwYCAzIABAQAAQAkBwEAABEfAAMDAQEAJAABARIfAAUFBgAAJAAGBg4FIAkbS7BfUFhAOEpHAgIGAR4bAQMBHQACBgMGAgMyAAYABQYFAQAlAAQEAAEAJAcBAAARHwADAwEBACQAAQESASAIG0uwbFBYQDZKRwICBgEeGwEDAR0AAgYDBgIDMgcBAAAEBgAEAQAmAAYABQYFAQAlAAMDAQEAJAABARUBIAcbQEBKRwICBgEeGwEDAR0AAgYDBgIDMgcBAAAEBgAEAQAmAAYCBQYAACMAAwABBQMBAQAmAAYGBQEAJAAFBgUBACEIWVlZsDgrATIeAhUUDgQVFB4EFRQOAiMiJic3PgEzMh4CMzI+AjU0LgQ1ND4ENTQuAiMiDgIHAwcGKwETJyY1NzM+AwLYWX5RJi9GUUYvK0BLQCs+aYxPWYoxMAkXEREiLUAwKkczHS5EUUQuMUpXSjEVLUk0Pm1VOgpsLhFLRohuKAijF16EpAWtNlNlL0RgSDYzOCYjLykrPVhBVolfM0U2QgwOHSIdHzZJKjA/Lig0SDg+WEU6QFA4HDswHkN0mVX8mM9LBFcOBSFNXKeAS///ADD/8gOpBacCJgBEAAAABwBDAWkAAP//ADD/8gPPBacCJgBEAAAABwB2ASsAAP//ADD/8gOvBZcCJgBEAAAABwDFASIAAP//ADD/8gPCBYYCJgBEAAAABwDHASIAAP//ADD/8gPIBZECJgBEAAAABwBqASIAAP//ADD/8gOpBd4CJgBEAAAABwDGATYAAAADAB//8AWEBAYARwBVAGIDM0AmV1YBAFxbVmJXYlFPSUhDQTw6NzUvLigmIB4YFhEPCgkARwFHEAcrS7AJUFhASEU/AggHIhoCAgMCHgAIBwYHCAYyAAMBAgEDAjINAQYKAQEDBgEBACYPDAIHBwABACQJDgIAABQfCwECAgQBACQFAQQEEgQgCBtLsBdQWEBIRT8CCAciGgICAwIeAAgHBgcIBjIAAwECAQMCMg0BBgoBAQMGAQEAJg8MAgcHAAEAJAkOAgAAFB8LAQICBAEAJAUBBAQVBCAIG0uwLFBYQFRFPwIIByIaAgIDAh4ACAcGBwgGMgADAQIBAwIyDQEGCgEBAwYBAQAmDwwCBwcAAQAkCQ4CAAAUHwACAgQBACQFAQQEFR8ACwsEAQAkBQEEBBUEIAobS7BsUFhAYUU/AggHIhoCAgMCHgAIBwYHCAYyAAMBAgEDAjINAQYKAQEDBgEBACYPAQwMAAEAJAkOAgAAFB8ABwcAAQAkCQ4CAAAUHwACAgQBACQFAQQEFR8ACwsEAQAkBQEEBBUEIAwbS7CPUFhAXUU/AggHIhoCAgMCHgAIBwYHCAYyAAMBAgEDAjIPAQwHAAwBACMJDgIAAAcIAAcBACYNAQYKAQEDBgEBACYAAgsEAgEAIwALBAQLAQAjAAsLBAEAJAUBBAsEAQAhChtLsMhQWEBeRT8CCAciGgICAwIeAAgHBgcIBjIAAwECAQMCMg4BAA8BDAcADAEAJgAJAAcICQcBACYNAQYKAQEDBgEBACYAAgsEAgEAIwALBAQLAQAjAAsLBAEAJAUBBAsEAQAhChtLsE5QWEBfRT8CCAciGgICAwIeAAgHBgcIBjIAAwECAQMCMg4BAA8BDAcADAEAJgAJAAcICQcBACYNAQYKAQEDBgEBACYACwQFCwEAIwACAAQFAgQBACYACwsFAQAkAAULBQEAIQobQGdFPwIIByIaAgIDAh4ACAcGBwgGMgADCgIKAwIyDgEADwEMBwAMAQAmAAkABwgJBwEAJgANAAEKDQEBACYABgAKAwYKAQAmAAsEBQsBACMAAgAEBQIEAQAmAAsLBQEAJAAFCwUBACELWVlZWVlZWbA4KwEyHgIVFA4CBwYUFRQWMzI+BDMyHwEOAyMiJicOAyMiJjU0PgI3PgM1NCMiDgIjIiYvAT4BMzIWFz4BAQ4DFRQWMzI+AjcBIg4CBz4DNTQmBF08ZksqN4nqsgF6bDFLOy0mHxAUDiwzYWZvQGmfJyBZZGoxhZBAkOqrBAUCAZo8VT8wFhIYBhdXsWhsehY8rf6JeKZnLU5BNF1LNAkB2jxiSTIMgqljKEsEAyVCWTM5bFU3AwoUCpubFB0jHRQRNzRMMRhycj5XOBl3eEeAYz4FHygbEQezISkhEg43UVBgVVRe/dwFJTxRMkhFJUpvSgHzLVR2SAckM0AkOUQAAAABADz+oQNiBAMASQHhQBgBAEVDOzo0Mi0rIyEeHBcVBgQASQFJCgcrS7AJUFhAThkBBAI2AQUGDAEHBTwLAgAHRwEIAAUeAAMEBgQDBjIABgUEBgUwAAQEAgEAJAACAhQfAAUFBwEAJAAHBxIfAQkCAAAIAQAkAAgIEAggCRtLsBVQWEBOGQEEAjYBBQYMAQcFPAsCAAdHAQgABR4AAwQGBAMGMgAGBQQGBTAABAQCAQAkAAICFB8ABQUHAQAkAAcHFR8BCQIAAAgBACQACAgQCCAJG0uwSVBYQFUZAQQCNgEFBgwBBwU8CwIAB0cBCAEFHgADBAYEAwYyAAYFBAYFMAkBAAcBBwABMgAEBAIBACQAAgIUHwAFBQcBACQABwcVHwABAQgBACQACAgQCCAKG0uwbFBYQFIZAQQCNgEFBgwBBwU8CwIAB0cBCAEFHgADBAYEAwYyAAYFBAYFMAkBAAcBBwABMgABAAgBCAEAJQAEBAIBACQAAgIUHwAFBQcBACQABwcVByAJG0BaGQEEAjYBBQYMAQcFPAsCAAdHAQgBBR4AAwQGBAMGMgAGBQQGBTAJAQAHAQcAATIAAgAEAwIEAQAmAAUABwAFBwEAJgABCAgBAQAjAAEBCAEAJAAIAQgBACEJWVlZWbA4KwUyHgIzMjY1NCYnNy4DNTQ+AjMyFhcHDgEjIi4CIyIOAhUUHgIzMj4EMzIfAQ4DDwEeARUUDgIjIiYnNzYBGAYOFBoUKCtHQjJKcUwnTYq+cmSIMzgGEgsOGytBM0V7XDUcOFE2LUY2KSEbDhQOLC9UVFcxF0pDITtRMCZCGxcI+QgJCCgeIx0JeQpDa45Ue+KuaEdEQwgKGR8ZS4KyZj5lRycTHCEcExE2M0gtFwM8ET8uJDknFREPNREAAP//ADv/8gNxBacCJgBIAAAABwBDAPwAAP//ADv/8gOBBacCJgBIAAAABwB2AN0AAP//ADv/8gNxBZcCJgBIAAAABwDFAN0AAP//ADv/8gODBZECJgBIAAAABwBqAN0AAP//AD0AAAGQBacCJgDCAAAABgBD8AAAAP//AF8AAAJ1BacCJgDCAAAABgB20QAAAP//ACIAAAJeBZcCJgDCAAAABgDF0QAAAP//AC8AAAJ3BZECJgDCAAAABgBq0QAAAAACADz/8wPNBYQAMQBFAH1ADjMyPTsyRTNFKykhHwUHK0uwbFBYQCo3LQICAwEeMTAYEhEOBgcBHAABAAMCAQMBACYEAQICAAEAJAAAABUAIAUbQDQ3LQICAwEeMTAYEhEOBgcBHAABAAMCAQMBACYEAQIAAAIBACMEAQICAAEAJAAAAgABACEGWbA4KwEuATU0PwEuAScmNTQ/AR4BFzcXFhUUDwEeARUUAg4BIyIuAjU0PgIzMhYXLgEnBwMyPgI3LgMjIg4CFRQeAgHJAwIPgSlgNyUIGVijRq4dBhNxUV5GiMiCUoplOEV9rmlhnDACTEy+IUFvWD4QCSY8VTlLd1IrIj1TBCkFCQUTCV4YJRELHg0TNxBAM3w5CQwQDlNU8aWl/vHCazlrl19swZBVW1yIxUWK/IkzbKl2LFE/JjxpjVFDakknAAAA//8ARwAAA70FiAImAFEAAAEHAMcBAQACAAixAQGwArANKwAA//8AN//yA7YFqQImAFIAAAEHAEMA9QACAAixAgGwArANKwAA//8AN//yA7YFqQImAFIAAAEHAHYA1QACAAixAgGwArANKwAA//8AN//yA7YFmQImAFIAAAEHAMUA1QACAAixAgGwArANKwAA//8AN//yA7YFiAImAFIAAAEHAMcA1QACAAixAgGwArANKwAA//8AN//yA7YFkwImAFIAAAEHAGoA1QACAAixAgKwArANKwAAAAMAcwDABEEEfgADABUAJwBBQA4mJBwaFBIKCAMCAQAGBytAKwACAAMAAgMBACYAAAABBAABAAAmAAQFBQQBACMABAQFAQAkAAUEBQEAIQWwOCsTIQchATQ+AjMyHgIVFA4CIyImAzQ+AjMyHgIVFA4CIyImgwO+EPxCAZcWJjIcGCcdEBcmMhsxO1gWJjIcGCcdEBcmMhswPALgggGWHDImFhIeKBcdMSQVPv1mHDImFhIeKBcdMSQVPgAAAwAG/8cD5AQlAB8AKQA0AWdAFisqAQAqNCs0JiQXFREPBwUAHwEfCAcrS7AJUFhAORIBBAIzMiMiGAgGBQQCAQAFAx4AAwMUHwAEBAIBACQAAgIUHwcBBQUAAQAkBgEAABIfAAEBEgEgBxtLsBlQWEA5EgEEAjMyIyIYCAYFBAIBAAUDHgADAxQfAAQEAgEAJAACAhQfBwEFBQABACQGAQAAFR8AAQESASAHG0uwHFBYQDkSAQQCMzIjIhgIBgUEAgEABQMeAAEAATUAAwMUHwAEBAIBACQAAgIUHwcBBQUAAQAkBgEAABUAIAcbS7BsUFhAORIBBAIzMiMiGAgGBQQCAQAFAx4AAwIDNAABAAE1AAQEAgEAJAACAhQfBwEFBQABACQGAQAAFQAgBxtAQRIBBAIzMiMiGAgGBQQCAQAFAx4AAwIDNAABAAE1AAIABAUCBAEAJgcBBQAABQEAIwcBBQUAAQAkBgEABQABACEHWVlZWbA4KwUiJwcOASsBNy4BNTQ+AjMyFzc+ATsBBx4BFRQOAgEUFwEmIyIOAhMyPgI1NCYnARYBsHxaJBY6HUOEKCtQi71ufVsiEyAgWoAnK1CLvv7CGgG6OE5Kelkx4Ul7WTENDP5GNw49MR4ZtTWOWIDiqmJALhwWrTWMV3/iqmMBpllCAlotTIW0/nNNhbRnLEsg/agsAP//AGD/8gPVBakCJgBYAAABBwBDAPwAAgAIsQEBsAKwDSsAAP//AGD/8gPVBakCJgBYAAABBwB2AN0AAgAIsQEBsAKwDSsAAP//AGD/8gPVBZkCJgBYAAABBwDFAN0AAgAIsQEBsAKwDSsAAP//AGD/8gPVBZMCJgBYAAABBwBqAN0AAgAIsQECsAKwDSsAAP//AFH+qQPoBakCJgBcAAABBwB2ALsAAgAIsQEBsAKwDSsAAAACACX+qQPmBcEAGQAsATpAFhsaAAAkIhosGywAGQAYExEJBwIBCAcrS7AJUFhAMSADAgUEFQECBQIeAAAADR8HAQQEAQEAJAABARQfAAUFAgEAJAACAhIfBgEDAxADIAcbS7BJUFhAMSADAgUEFQECBQIeAAAADR8HAQQEAQEAJAABARQfAAUFAgEAJAACAhUfBgEDAxADIAcbS7BsUFhAMSADAgUEFQECBQIeBgEDAgM1AAAADR8HAQQEAQEAJAABARQfAAUFAgEAJAACAhUCIAcbS7CNUFhALSADAgUEFQECBQIeBgEDAgM1AAEHAQQFAQQBACYABQACAwUCAQAmAAAADQAgBRtAOCADAgUEFQECBQIeAAABADQGAQMCAzUAAQcBBAUBBAEAJgAFAgIFAQAjAAUFAgEAJAACBQIBACEHWVlZWbA4KxsBMwM+AzMyFhUUDgQjIiYnAw4BIwEiDgIHAx4BMzI+BDU0JiXdsFkmWGBoNoGQIj9ZbYBGS3srLgMnHgIAMGJcTx0hJms3NFxMPCkWVv6pBxj9ND1lRie8tVKklYFfNjs2/oYaJgTMPGqSV/74NiwsS2Vzezx3fAAA//8AUf6pA+gFkwImAFwAAAEHAGoAuwACAAixAQKwArANKwAAAAEAXwAAAYgD9QADAFdACgAAAAMAAwIBAwcrS7BfUFhADQIBAQEOHwAAAAwAIAIbS7BsUFhADQIBAQEOHwAAAA8AIAIbQBkCAQEAAAEAACMCAQEBAAAAJAAAAQAAACEDWVmwOCsBAyMTAYh6r3oD9fwLA/UAAgBk//IH8QWpAB4AMgIlQBoAAC8tJSMAHgAeGRcPDQoJCAcGBQQDAgELBytLsBxQWEAzHQEBAAsBAwICHgABAAIDAQIAACYIAQAABgEAJAoHAgYGER8JAQMDBAEAJAUBBAQMBCAGG0uwHlBYQEAdAQEACwEDAgIeAAEAAgMBAgAAJgAICAYBACQKBwIGBhEfAAAABgEAJAoHAgYGER8JAQMDBAEAJAUBBAQMBCAIG0uwIFBYQD0dAQEACwEDAgIeAAEAAgMBAgAAJgAICAYBACQABgYRHwAAAAcAACQKAQcHCx8JAQMDBAEAJAUBBAQMBCAIG0uwIlBYQEkdAQEACwEDAgIeAAEAAgMBAgAAJgAICAYBACQABgYRHwAAAAcAACQKAQcHCx8AAwMEAQAkBQEEBAwfAAkJBAEAJAUBBAQMBCAKG0uwX1BYQEcdAQEACwEDAgIeAAEAAgMBAgAAJgAICAYBACQABgYRHwAAAAcAACQKAQcHCx8AAwMEAAAkAAQEDB8ACQkFAQAkAAUFFQUgChtLsGxQWEBDHQEBAAsBAwICHgAGAAgABggBACYKAQcAAAEHAAAAJgABAAIDAQIAACYAAwMEAAAkAAQEDx8ACQkFAQAkAAUFFQUgCBtASh0BAQALAQMCAh4ABgAIAAYIAQAmCgEHAAABBwAAACYAAQACAwECAAAmAAkEBQkBACMAAwAEBQMEAAAmAAkJBQEAJAAFCQUBACEIWVlZWVlZsDgrAQchAyEHIQMhByE3DgEjIi4CNTQSPgEzMh4CFxMDNC4CIyIOAhUUHgIzMj4CB/ES/Y47AfcR/gg9AnET/OgcWveWdbyDRmi4+5JLgWtTHiBoL1qCU222hEkwW4NTbbWDSAWZmf4ck/4PmOJyflyj44e5ATbhfiZHZT8BAf2faq98RGO1/ptrrXxDYrT9AAAAAwAu//IF5gQDADQARgBVAexAIEhHNjUBAEdVSFU+PDVGNkYwLiYkIB4YFhEPADQBNAwHK0uwCVBYQDZMMgwDAgciGgIBAgIeAAIHAQcCATILCAIHBwABACQFCQIAABQfCgYCAQEDAQAkBAEDAxIDIAYbS7A2UFhANkwyDAMCByIaAgECAh4AAgcBBwIBMgsIAgcHAAEAJAUJAgAAFB8KBgIBAQMBACQEAQMDFQMgBhtLsFtQWEBDTDIMAwIHIhoCAQICHgACBwEHAgEyCwEICAABACQFCQIAABQfAAcHAAEAJAUJAgAAFB8KBgIBAQMBACQEAQMDFQMgCBtLsGxQWEBPTDIMAwIHIhoCAQICHgACBwEHAgEyCwEICAABACQFCQIAABQfAAcHAAEAJAUJAgAAFB8AAQEDAQAkBAEDAxUfCgEGBgMBACQEAQMDFQMgChtLsOhQWEBMTDIMAwIHIhoCAQICHgACBwEHAgEyCwEIBwAIAQAjBQkCAAAHAgAHAQAmAAEGAwEBACMKAQYDAwYBACMKAQYGAwEAJAQBAwYDAQAhCBtATUwyDAMCByIaAgECAh4AAgcBBwIBMgkBAAsBCAcACAEAJgAFAAcCBQcBACYAAQYDAQEAIwoBBgAEAwYEAQAmAAEBAwEAJAADAQMBACEIWVlZWVmwOCsBMh4CFRQOBAcVFBYzMj4EMzIfAQ4DIyImJw4BIyIuAjU0PgIzMhYXPgEBMj4CNTQmIyIOAhUUHgIBIg4CBz4DNTQuAgTMQWhKJxc4XIy+fnltMEs7LSYfEBMPLDJhZnBAaZ8nRc6BUXpRKVWRv2trjyM/uv1JUX1VK11hTnxYLxQuSgNIO2ZQOAyRt2gmEyc9BAMiP1g1KUxDOzAmDQubmxQdIx0UETc0TDEYdHNueTtlhEik/axYZVtaZvx2Toy+cXOHTIvEeS9WQigDDC5Zf1ESMzpBIRgqIRMAAAAAAQBRBJECjQWXABIAW0AIEhEQDgIAAwcrS7BfUFhAEwgBAAIBHgEBAAIANQACAgsCIAMbS7DoUFhAEQgBAAIBHgACAAI0AQEAACsDG0AVCAEBAgEeAAIBAjQAAQABNAAAACsEWVmwOCsBIyImLwEuAScOAQ8BDgErARMzAo1yCxQFZAMHAwUIBIUGFgx376AEkQgGgAMHBQUHA4AFCQEGAAIAuQRrAkoF3gATAB8AU0AKHhwYFhAOBgQEBytLsBxQWEAXAAIAAQIBAQAlAAMDAAEAJAAAAA0DIAMbQCEAAAADAgADAQAmAAIBAQIBACMAAgIBAQAkAAECAQEAIQRZsDgrEzQ+AjMyHgIVFA4CIyIuAjcUFjMyNjU0JiMiBrkgN0goKUk4ICA4SSkoSDcgZDYvLTc3LS82BSMqRDIbGzJEKilEMBsbMEQpLDg4LC04OAAAAAEAaASvAqAFhgAaANNAEgEAFxUREA4MCQcDAgAaARoHBytLsCpQWEAaBgEABAECAAIBACUAAwMBAQAkBQEBAQsDIAMbS7BbUFhAJQYBAAMCAAEAIwUBAQADAgEDAQAmBgEAAAIBACQEAQIAAgEAIQQbS7BwUFhALAABBQAFAQAyBgEAAwIAAQAjAAUAAwIFAwEAJgYBAAACAQAkBAECAAIBACEFG0AzAAEFAAUBADIABAMCAwQCMgYBAAMCAAEAIwAFAAMEBQMBACYGAQAAAgEAJAACAAIBACEGWVlZsDgrATI3Mw4DIyIuAiMiBgcjPgMzMh4CAehBDmkGITJCJSA1LSkVICgGagYiM0ElITQtKAUpWC9NNx8dIx0tLC5OOB8dIx0AAAAAAQCWAg8DhgKMAAMAJUAGAwIBAAIHK0AXAAABAQAAACMAAAABAAAkAAEAAQAAIQOwOCsTIQchpQLhD/0fAox9AAEAlgIPBW8CjAADACVABgMCAQACBytAFwAAAQEAAAAjAAAAAQAAJAABAAEAACEDsDgrEyEHIaUEyhD7NwKMfQABALsD+AG+BfYAGAAHQAQGAAELKxMuATU0NjcXFhUUBgcOAxUUFhcWFRQH2xEPal4vDAkLECEaEQoNAx4D+CVKJWS6TB8JDQgODBMwOUAiGjYcCAYYDQAAAQCNA+EBkAXfABgAB0AEAAYBCysBHgEVFAYHJyY1NDY3PgM1NCYnJjU0NwFwEQ9qXjALCQsQIRoRCg0DHgXfJUolZLpMHwkNCA4MEzA4QCMaNhwHBxgNAAEAAf7uAQQA7AAYAAdABAAGAQsrNx4BFRQGBycmNTQ2Nz4DNTQmJyY1NDfkEQ9qXjALCQsQIRoRCg0DHuwlSiVkukwfCQ0IDgwTMDhAIxo2HAcHGA0AAAACALsD+ALaBfYAGAAxAAlABh8ZBgACCysTLgE1NDY3FxYVFAYHDgMVFBYXFhUUBxcuATU0NjcXFhUUBgcOAxUUFhcWFRQH2xEPal4vDAkLECEaEQoNAx6tEQ9qXi8MCQsQIRoRCg0DHgP4JUolZLpMHwkNCA4MEzA5QCIaNhwIBhgNKiVKJWS6TB8JDQgODBMwOUAiGjYcCAYYDQACAJYD4QK0Bd8AGAAxAAlABhkfAAYCCysBHgEVFAYHJyY1NDY3PgM1NCYnJjU0NyUeARUUBgcnJjU0Njc+AzU0JicmNTQ3AXkRD2peMAsJCxAhGhEKDQMeAYoRD2peMAsJCxAhGhEKDQMeBd8lSiVkukwfCQ0IDgwTMDhAIxo2HAcHGA0qJUolZLpMHwkNCA4MEzA4QCMaNhwHBxgNAAAAAv/c/u4B+wDsABgAMQAJQAYZHwAGAgsrNx4BFRQGBycmNTQ2Nz4DNTQmJyY1NDclHgEVFAYHJyY1NDY3PgM1NCYnJjU0N78RD2peMAsJCxAhGhEKDQMeAYsRD2peMAsJCxAhGhEKDQMe7CVKJWS6TB8JDQgODBMwOEAjGjYcBwcYDSolSiVkukwfCQ0IDgwTMDhAIxo2HAcHGA0AAQDnAOADzQPIABMAPEAGEA4GBAIHK0uwF1BYQA4AAQEAAQAkAAAADgEgAhtAFwAAAQEAAQAjAAAAAQEAJAABAAEBACEDWbA4KxM0PgIzMh4CFRQOAiMiLgLnOmWGTE2IZTs7ZYhNTIZlOgJTTYhlOztliE1Nh2Q7O2SHAAEAhQCBAekDoAASAAdABAISAQsrEzcBFxYVFAcDBgcWFxMWFRQPAYUDARY0Fw+vEBAKDW8GIDsCBhYBhBsMFhQT/vkZCwoa/vkODSAPGwAAAQB3AIEB2gOgABIAB0AEEgIBCysBBwEnJjU0NxM2NyYnAyY1ND8BAdoC/us1Fw2yEA4NCXAGITsCHBb+exsLGBAXAQcYCwwZAQcNDSAPGwAB/xoAAANjBZcACQBCQAYJBwQCAgcrS7BfUFhADAABAQsfAAAADAAgAhtLsGxQWEAMAAEAATQAAAAPACACG0AKAAEAATQAAAArAllZsDgrJw4BKwEBPgE7AT8VLx1GA5wUMSFHNSAVBVsdHwABACr/8QTBBaYAQgGNQB5CQT8+PTw4NjEvLCooJiMiHx0aGRUTDgwHBQEADgcrS7BfUFhATAkBAgM0AQgJAh4AAgMAAwIAMgAJBwgHCQgyBAEADQEFBgAFAQAmDAEGCwEHCQYHAQAmAAMDAQEAJAABAREfAAgICgEAJAAKChIKIAkbS7BsUFhASgkBAgM0AQgJAh4AAgMAAwIAMgAJBwgHCQgyAAEAAwIBAwEAJgQBAA0BBQYABQEAJgwBBgsBBwkGBwEAJgAICAoBACQACgoVCiAIG0uw6FBYQFMJAQIDNAEICQIeAAIDAAMCADIACQcIBwkIMgABAAMCAQMBACYEAQANAQUGAAUBACYMAQYLAQcJBgcBACYACAoKCAEAIwAICAoBACQACggKAQAhCRtAYwkBAgM0AQgJAh4AAgMAAwIAMgAJBwgHCQgyAAEAAwIBAwEAJgAAAA0FAA0AACYABAAFBgQFAQAmAAwACwcMCwAAJgAGAAcJBgcBACYACAoKCAEAIwAICAoBACQACggKAQAhC1lZWbA4KxMzPgMzMhYXBw4BIyIuBCMiDgIHIQcOASMhDgEHIQcOASMhHgEzMj4CMzIWHwEOASMiLgInIzczNjcjVI0hd6HFcIWyO0MMDg4LFBsmNkozTYhvVBoCMAYDHRn9+gYHAgHaBwIfF/5kB6eRUm9JLhIICwZBU96Oca12PgORDIcDDIQDgX/MjkxjV0IMCBIbIBsSNGaVYDcRGyNIJjYRHMzXLTYtBAhEZXFSldKAY0pHAAABAKUCXgQPAuAAAwAlQAYDAgEAAgcrQBcAAAEBAAAAIwAAAAEAACQAAQABAAAhA7A4KxMhByG0A1sQ/KYC4IIAAQA+/wYDtwW7ACcBpUAUAAAAJwAnIh0WFA8OCQcEAwIBCAcrS7AyUFhAPRoBBQQNAQEDCgEAAQMeAAUFBAEAJAAEBA0fAAEBAwAAJAcGAgMDDh8AAAAMHwACAgMAACQHBgIDAw4CIAgbS7BfUFhANBoBBQQNAQEDCgEAAQMeAAEAAwEAACMHBgIDAAIDAgEAJQAFBQQBACQABAQNHwAAAAwAIAYbS7BsUFhANBoBBQQNAQEDCgEAAQMeAAEAAwEAACMHBgIDAAIDAgEAJQAFBQQBACQABAQNHwAAAA8AIAYbS7DZUFhANxoBBQQNAQEDCgEAAQMeAAABAgEAAjIAAQADAQAAIwcGAgMAAgMCAQAlAAUFBAEAJAAEBA0FIAYbS7gD6FBYQD0aAQUEDQEBAwoBAAEDHgAAAQIBAAIyAAQABQMEBQEAJgcGAgMAAQADAQAAJgcGAgMDAgEAJAACAwIBACEGG0BCGgEFBA0BAQYKAQABAx4AAAECAQACMgAEAAUDBAUBACYAAwYCAwAAIwcBBgABAAYBAAAmAAMDAgEAJAACAwIBACEHWVlZWVmwOCsBAyMTIQMHBisBEycmNTczNz4DMzIeAhcHDgEjIiYjIg4CDwEDt3mwa/59Zi4RS0aJYygHlAcLSXqoaxInJyMNEQMVEQsaEFN6VTEJBgPh/B8DYPzAz0sEWAwFI084XZpuPQMFBwVaDAcBJEhuSzUAAAABAD7/BgQRBbMAIQJaQBYAAAAhACEgHxwaFxYVExIQCwoFAwkHK0uwCVBYQD0YAQEFCQEHAQYBBAcDHgAFBQIBACQDAQICER8IAQcHAQAAJAYBAQEOHwAEBAwfAAAAAQAAJAYBAQEOACAIG0uwJlBYQD0YAQEFCQEHAQYBBAcDHgAFBQIBACQDAQICDR8IAQcHAQAAJAYBAQEOHwAEBAwfAAAAAQAAJAYBAQEOACAIG0uwMlBYQEEYAQEFCQEHAQYBBAcDHgADAxEfAAUFAgEAJAACAg0fCAEHBwEAACQGAQEBDh8ABAQMHwAAAAEAACQGAQEBDgAgCRtLsF9QWEA5GAEBBQkBBwEGAQQHAx4IAQcEAQcAACMGAQEAAAEAAQAlAAMDER8ABQUCAQAkAAICDR8ABAQMBCAHG0uwbFBYQDwYAQEFCQEHAQYBBAcDHgADAgUCAwUyCAEHBAEHAAAjBgEBAAABAAEAJQAFBQIBACQAAgINHwAEBA8EIAcbS7CNUFhAPxgBAQUJAQcBBgEEBwMeAAMCBQIDBTIABAcABwQAMggBBwQBBwAAIwYBAQAAAQABACUABQUCAQAkAAICDQUgBxtLsOhQWEBEGAEBBQkBBwEGAQQHAx4AAwIFAgMFMgAEBwAHBAAyAAIABQECBQEAJgYBAQgBBwQBBwAAJgYBAQEAAQAkAAABAAEAIQcbQEoYAQEFCQEHBgYBBAcDHgADAgUCAwUyAAQHAAcEADIAAgAFAQIFAQAmAAEGAAEAACMABggBBwQGBwAAJgABAQABACQAAAEAAQAhCFlZWVlZWVmwOCsBAwcGKwETJyY1NzM3PgMzMhY7AQMjEy4BIyIGDwEzBwF3Zy4RS0aIYigIkgcKQm6YYUeMNXexraAtXyt1kQ8G7g8DYfy/z0sEWAwFIVE3VJZwQQ36WgUkBAqThzeAAAAAAQBVBgoCCQb1AAkAHUAKAQAGBAAJAQkDBytACwIBAAEANAABASsCsDgrATIWHwEjIiYvAQEXHxwQp5AUFg/rBvUNE8sNDNIAAgCGBh8CqAboABMAJwBWQAokIhoYEA4GBAQHK0uw6FBYQBoDAQEAAAEBACMDAQEBAAEAJAIBAAEAAQAhAxtAIQABAwABAQAjAAMAAgADAgEAJgABAQABACQAAAEAAQAhBFmwOCsBFA4CIyIuAjU0PgIzMh4CBRQOAiMiLgI1ND4CMzIeAgFQERwlFRQjHBAQHCMUFSUcEQFYEBwkFRUkHBAQHCQVFSQcEAaBFCQbDw8bJBQVJR0QEB0lFRQkGw8PGyQUFSUdEBAdJQAAAQEXBgoDBgb1AAsAHUAKAAAACwAKBQMDBytACwIBAQABNAAAACsCsDgrAQUOASsBNz4DMwMG/uARGRSR2goREhYQBvXSDA3LCQ0HAwAAAAABAGYGCgLHBtsADAA/QAgMCwoIAgADBytLsOhQWEARBQEAAgEeAAIAAjQBAQAAKwMbQBUFAQECAR4AAgECNAABAAE0AAAAKwRZsDgrASMiJi8BBw4BKwE3MwLHgwsZCHKOCRsMgvapBgoGB2trBwbRAAAAAAIA2wXNAlYHLQATAB8AM0AKHhwYFhAOBgQEBytAIQAAAAMCAAMBACYAAgEBAgEAIwACAgEBACQAAQIBAQAhBLA4KxM0PgIzMh4CFRQOAiMiLgI3FBYzMjY1NCYjIgbbHjREJidFNB8fNEUnJkQ0Hlk2Ly03Ny0vNgZ7J0IvGhovQicmQC4aGi5AJis5OSstODgAAAABAJkGCALFBtAAGwCwQBIBABgWEhEPDQoIBAMAGwEbBwcrS7BbUFhAJQYBAAMCAAEAIwUBAQADAgEDAQAmBgEAAAIBACQEAQIAAgEAIQQbS7BwUFhALAABBQAFAQAyBgEAAwIAAQAjAAUAAwIFAwEAJgYBAAACAQAkBAECAAIBACEFG0AzAAEFAAUBADIABAMCAwQCMgYBAAMCAAEAIwAFAAMEBQMBACYGAQAAAgEAJAACAAIBACEGWVmwOCsBMjY3Mw4DIyIuAiMiBgcjPgMzMh4CAhseKQVeBR4uPiUgODIuFR4nBWEFHy4+JSE4Mi0GfColKkc1HRsgGy0lKkg1HRogGgAAAAABAAAA3gCCAAcAYgAEAAIAIgAtADkAAACXBuUAAgABAAAA3gDeAN4A3gFUAcgCyAP4BSQGMAZwBqgG4AdmB7wIEggyCHwIqAkqCbIKXgs8C84MhA0gDYQOSg7kD2oQABAwEGAQkBE+EmQS8BOOFDoUpBUMFWYWJhaYFs4XTBfuGDIYwBk0Ga4aJhrWG4YcPBygHSAdgB4YHp4fBB9mH6Qf0CAKIFogfiCuIWoiZiMII/AkniVcJognMCe6KHopNil0KlIrAit8LGQtKC20LmgvSi/+MF4xCDGQMggyaDLqMxYznDPqM+o0XjUwNiQ2xDeMN8o4jjkAOjI6/jtGO4A7oDzePP49Yj3OPlQ/AD8wQBJAiEC8QUpBukIeQmZDpEUARshHeEeER5BHnEeoR7RHwEh8SfhKBEoQShxKKEo0SkBKTEpYSwJLDksaSyZLMks+S0pLcExYTGRMcEx8TIhMmk0UThBOHE4oTjROQE5MTlhQelHQUdxR6FH0UgBSDFIYUiRSMFLWUuhS+lMMUx5TMFNCU6BUplS4VMpU3FTuVQBV4lX0Vi5XkFj+WU5ZqFo8WlxafFqoWtRbAFtOW55b7FwqXFJcelywXdZd9l8IYGxgkGD2YR5hWGGiYiYAAAABAAAAARqg2FcnKl8PPPUACQfQAAAAAMqTXnAAAAAAyt8uhv8a/gwH/wctAAIACQACAAAAAAAABCcALQAAAAAAAAAAAYIAAAJ7AJ8C4ADaBIgANgSIAEcFrABaBREAOQGqANoCKAB6Aij/+ALgAJQEiABzAakAMgKBAGEBqQAtArf/rwSIAE8EiADlBIgALwSIAF0EiAAtBIgARASIAGgEiAC7BIgAUgSIANEBqQAtAakALgQrAJ8EiACNBCsAfQLhAIQF2QBNBNX/wQSnAGEE0gBkBWkAYQQrAGEEEQBhBUUAZAVwAGECNgCBAzH/+wTpAHIDswBhBqAAYQVvAGEFuQBkBGgAcgW4AGQEpAByA9EADAQ/AHsFPwCSBOsAfAdaAIEEqP+6BI0AeQR8ABACKAAhArYAbAIo//EEiADXAtb/oQI4AE0D8gAwBBoATwNiADwEHAA1A5oAOwJdAD8Dof++BCQATwHnAF8B2/9nA78ATgHbAFgGHwBHBBwARwPtADcEDAAcA/IAMAK+AEcDCgAKAq0AXwQaAGADuABLBYsAUQOp/84DuABRA1oAAwIoADECWACrAij/8ASIADkBggAAAnsAlASIAIoEiAAPBIgAqwSIAH4CWACrA58AOwI4AF4GPQBdAngAjwNrAIUEiAClAoEAYQY9AF4COABwAwUAjgSIADMCmACBApgApQI4AQcEAgARBTsAawIjAJQCOAAXApgA5ALAAI4DawB3BcMAxAXDAMkFwwCTAuH/5wTV/8EE1f/BBNX/wQTV/8EE1f/BBNX/wQap/6gE0gBkBCsAYQQrAGEEKwBhBCsAYQI2AFYCNgCBAjYAZwI2AIEFrABFBW8AYQW5AGQFuQBkBbkAZAW5AGQFuQBkBIgAbAW4ADAFPwCSBT8AkgU/AJIFPwCSBI0AeQRoAK4ESQAzA/IAMAPyADAD8gAwA/IAMAPyADAD8gAwBaYAHwNiADwDmgA7A5oAOwOaADsDmgA7AecAPQHnAF8B5wAiAecALwP8ADwEHABHA+0ANwPtADcD7QA3A+0ANwPtADcEiABzA+0ABgQaAGAEGgBgBBoAYAQaAGADuABRBBUAJQO4AFEB5wBfB9sAZAYIAC4COABRAjgAuQI4AGgEAgCWBewAlgGKALsBigCNAasAAQKkALsCpACWAqT/3ASIAOcCVgCFAlYAdwJB/xoEiAAqBIgApQQfAD4ERwA+AjgAVQCGARcAZgDbAJkAAAABAAAHtv5WAAAIT/8a/tYH/wfQAPYAAAAAAAAAAAAAAAAA2QADA9IBkAAFAAAFeAUUAAABGAV4BRQAAAO6AHQB9AgDAg8FAgICBAMCA6AAAK9QAGBLAAAAAAAAAAB0eVBMAAEAAPsCBkr+egGQB7YBqiAAAJMAAAAAA/UFmQAAACAAAgAAAAIAAAADAAAAFAADAAEAAAAUAAQAoAAAACQAIAAEAAQAAAANAH4A/wExAVMCxgLaAtwgFCAaIB4gIiA6IEQgrCIS//8AAAAAAA0AIACgATEBUgLGAtoC3CATIBggHCAiIDkgRCCsIhL//wAB//X/4//C/5H/cf3//ez96+C14LLgseCu4Jjgj+Ao3sMAAQAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAALAALCBksCBgZiOwAFBYZVktsAEsIGQgsMBQsAQmWrAERVtYISMhG4pYILBQUFghsEBZGyCwOFBYIbA4WVkgsAlFYWSwKFBYIbAJRSCwMFBYIbAwWRsgsMBQWCBmIIqKYSCwClBYYBsgsCBQWCGwCmAbILA2UFghsDZgG2BZWVkbsAArWVkjsABQWGVZWS2wAiywByNCsAYjQrAAI0KwAEOwBkNRWLAHQyuyAAEAQ2BCsBZlHFktsAMssABDIEUgsAJFY7ABRWJgRC2wBCywAEMgRSCwACsjsQYEJWAgRYojYSBkILAgUFghsAAbsDBQWLAgG7BAWVkjsABQWGVZsAMlI2FERC2wBSywAWAgILAJQ0qwAFBYILAJI0JZsApDSrAAUlggsAojQlktsAYssABDsAIlQrIAAQBDYEKxCQIlQrEKAiVCsAEWIyCwAyVQWLAAQ7AEJUKKiiCKI2GwBSohI7ABYSCKI2GwBSohG7AAQ7ACJUKwAiVhsAUqIVmwCUNHsApDR2CwgGIgsAJFY7ABRWJgsQAAEyNEsAFDsAA+sgEBAUNgQi2wBywAIGCwAWGzCwsBAEKKYLEGAistsAgsIGCwC2AgQyOwAWBDsAIlsAIlUVgjIDywAWAjsBJlHBshIVktsAkssAgrsAgqLbAKLCAgRyAgsAJFY7ABRWJgI2E4IyCKVVggRyAgsAJFY7ABRWJgI2E4GyFZLbALLACwARawCiqwARUwLbAMLCA1sAFgLbANLACwA0VjsAFFYrAAK7ACRWOwAUVisAArsAAWtAAAAAAARD4jOLEMARUqLbAOLCA8IEcgsAJFY7ABRWJgsABDYTgtsA8sLhc8LbAQLCA8IEcgsAJFY7ABRWJgsABDYbABQ2M4LbARLLECABYlIC4gR7AAI0KwAiVJiopHI0cjYWKwASNCshABARUUKi2wEiywABawBCWwBCVHI0cjYbABK2WKLiMgIDyKOC2wEyywABawBCWwBCUgLkcjRyNhILAFI0KwASsgsGBQWCCwQFFYswMgBCAbswMmBBpZQkIjILAIQyCKI0cjRyNhI0ZgsAVDsIBiYCCwACsgiophILADQ2BkI7AEQ2FkUFiwA0NhG7AEQ2BZsAMlsIBiYSMgILAEJiNGYTgbI7AIQ0awAiWwCENHI0cjYWAgsAVDsIBiYCMgsAArI7AFQ2CwACuwBSVhsAUlsIBisAQmYSCwBCVgZCOwAyVgZFBYIRsjIVkjICCwBCYjRmE4WS2wFCywABYgICCwBSYgLkcjRyNhIzw4LbAVLLAAFiCwCCNCICAgRiNHsAArI2E4LbAWLLAAFrADJbACJUcjRyNhsABUWC4gPCMhG7ACJbACJUcjRyNhILAFJbAEJUcjRyNhsAYlsAUlSbACJWGwAUVjI2JjsAFFYmAjLiMgIDyKOCMhWS2wFyywABYgsAhDIC5HI0cjYSBgsCBgZrCAYiMgIDyKOC2wGCwjIC5GsAIlRlJYIDxZLrEJARQrLbAZLCMgLkawAiVGUFggPFkusQkBFCstsBosIyAuRrACJUZSWCA8WSMgLkawAiVGUFggPFkusQkBFCstsBsssAAVIEewACNCsgABARUUEy6wDiotsBwssAAVIEewACNCsgABARUUEy6wDiotsB0ssQABFBOwDyotsB4ssBEqLbAjLLASKyMgLkawAiVGUlggPFkusQkBFCstsCYssBMriiAgPLAFI0KKOCMgLkawAiVGUlggPFkusQkBFCuwBUMusAkrLbAkLLAAFrAEJbAEJiAuRyNHI2GwASsjIDwgLiM4sQkBFCstsCEssQgEJUKwABawBCWwBCUgLkcjRyNhILAFI0KwASsgsGBQWCCwQFFYswMgBCAbswMmBBpZQkIjIEewBUOwgGJgILAAKyCKimEgsANDYGQjsARDYWRQWLADQ2EbsARDYFmwAyWwgGJhsAIlRmE4IyA8IzgbISAgRiNHsAArI2E4IVmxCQEUKy2wICywCCNCsB8rLbAiLLASKy6xCQEUKy2wJSywEyshIyAgPLAFI0IjOLEJARQrsAVDLrAJKy2wHyywABZFIyAuIEaKI2E4sQkBFCstsCcssBQrLrEJARQrLbAoLLAUK7AYKy2wKSywFCuwGSstsCossAAWsBQrsBorLbArLLAVKy6xCQEUKy2wLCywFSuwGCstsC0ssBUrsBkrLbAuLLAVK7AaKy2wLyywFisusQkBFCstsDAssBYrsBgrLbAxLLAWK7AZKy2wMiywFiuwGistsDMssBcrLrEJARQrLbA0LLAXK7AYKy2wNSywFyuwGSstsDYssBcrsBorLbA3LCstsDgssDcqsAEVMC0AAAC5CAAIAGMgsAEjRCCwAyNwsBRFICCwKGBmIIpVWLACJWGwAUVjI2KwAiNEswkKAwIrswsQAwIrsxEWAwIrWbIEKAZFUkSzCxAEAisAAAAAAAAAAAAAAACzAIsAswCzAIsAjAWZAAAFugP1AAD+qQWp//AFugQD//L+lAAAAAAAAQAAUugAAQ3PMAAACyLaAAUACf9VAAUAD/+kAAUAEP+tAAUAEf+kAAUAEv9VAAUAJP9VAAUAOQA2AAUAOgAwAAUAPAAtAAUAPwA2AAUARP+lAAUARv+lAAUAR/+lAAUASP+lAAUAUv+lAAUAVP+lAAUAbf+tAAUAb/+tAAUAef+tAAUAff+tAAUAgv9VAAUAg/9VAAUAhP9VAAUAhf9VAAUAhv9VAAUAh/9VAAUAiP9VAAUAnwAtAAUAov+lAAUAo/+lAAUApP+lAAUApf+lAAUApv+lAAUAp/+lAAUAqP+lAAUAqf+lAAUAqv+lAAUAq/+lAAUArP+lAAUArf+lAAUAsv+lAAUAtP+lAAUAtf+lAAUAtv+lAAUAt/+lAAUAuP+lAAUAuv+lAAUAxP+lAAUAyP+tAAUAyf+tAAUAzP+kAAUAz/+kAAUA0P+tAAUA0f+tAAUA0v+tAAoACf9VAAoAD/+kAAoAEP+tAAoAEf+kAAoAEv9VAAoAJP9VAAoAOQA2AAoAOgAwAAoAPAAtAAoAPwA2AAoARP+lAAoARv+lAAoAR/+lAAoASP+lAAoAUv+lAAoAVP+lAAoAbf+tAAoAb/+tAAoAef+tAAoAff+tAAoAgv9VAAoAg/9VAAoAhP9VAAoAhf9VAAoAhv9VAAoAh/9VAAoAiP9VAAoAnwAtAAoAov+lAAoAo/+lAAoApP+lAAoApf+lAAoApv+lAAoAp/+lAAoAqP+lAAoAqf+lAAoAqv+lAAoAq/+lAAoArP+lAAoArf+lAAoAsv+lAAoAtP+lAAoAtf+lAAoAtv+lAAoAt/+lAAoAuP+lAAoAuv+lAAoAxP+lAAoAyP+tAAoAyf+tAAoAzP+kAAoAz/+kAAoA0P+tAAoA0f+tAAoA0v+tAAsAI//YAAsAJv/YAAsAKv/YAAsAMv/YAAsANP/YAAsARP/hAAsARv/hAAsAR//hAAsASP/hAAsAUv/hAAsAVP/hAAsAa//YAAsAcP/YAAsAif/YAAsAlP/YAAsAlf/YAAsAlv/YAAsAl//YAAsAmP/YAAsAmv/YAAsAov/hAAsAo//hAAsApP/hAAsApf/hAAsApv/hAAsAp//hAAsAqP/hAAsAqf/hAAsAqv/hAAsAq//hAAsArP/hAAsArf/hAAsAsv/hAAsAtP/hAAsAtf/hAAsAtv/hAAsAt//hAAsAuP/hAAsAuv/hAAsAw//YAAsAxP/hAA0ACf9VAA0AD/+kAA0AEP+tAA0AEf+kAA0AEv9VAA0AJP9VAA0AOQA2AA0AOgAwAA0APAAtAA0APwA2AA0ARP+lAA0ARv+lAA0AR/+lAA0ASP+lAA0AUv+lAA0AVP+lAA0Abf+tAA0Ab/+tAA0Aef+tAA0Aff+tAA0Agv9VAA0Ag/9VAA0AhP9VAA0Ahf9VAA0Ahv9VAA0Ah/9VAA0AiP9VAA0AnwAtAA0Aov+lAA0Ao/+lAA0ApP+lAA0Apf+lAA0Apv+lAA0Ap/+lAA0AqP+lAA0Aqf+lAA0Aqv+lAA0Aq/+lAA0ArP+lAA0Arf+lAA0Asv+lAA0AtP+lAA0Atf+lAA0Atv+lAA0At/+lAA0AuP+lAA0Auv+lAA0AxP+lAA0AyP+tAA0Ayf+tAA0AzP+kAA0Az/+kAA0A0P+tAA0A0f+tAA0A0v+tAA8ABf+IAA8ACv+IAA8ADf+IAA8AEP87AA8AI//JAA8AJv/JAA8AKv/JAA8AMv/JAA8ANP/JAA8AN/81AA8AOf8sAA8AOv98AA8APP87AA8AP/8sAA8AWf9yAA8AWv+4AA8AXP98AA8Aa//JAA8AbP+IAA8Abf87AA8Ab/87AA8AcP/JAA8Acv+IAA8Aef87AA8AfP+IAA8Aff87AA8Aif/JAA8AlP/JAA8Alf/JAA8Alv/JAA8Al//JAA8AmP/JAA8Amv/JAA8An/87AA8Av/9yAA8Awf9yAA8Aw//JAA8AyP87AA8Ayf87AA8Ayv+IAA8Ay/+IAA8Azf+IAA8Azv+IAA8A0P87AA8A0f87AA8A0v87ABAABf+tABAACf/MABAACv+tABAADf+tABAAD/9eABAAEf9eABAAEv/MABAAJP/MABAAN/9BABAAOf+GABAAO/+6ABAAPP9AABAAPf/JABAAP/+GABAAbP+tABAAcv+tABAAfP+tABAAgv/MABAAg//MABAAhP/MABAAhf/MABAAhv/MABAAh//MABAAiP/MABAAn/9AABAAyv+tABAAy/+tABAAzP9eABAAzf+tABAAzv+tABAAz/9eABEABf+IABEACv+IABEADf+IABEAEP87ABEAI//JABEAJv/JABEAKv/JABEAMv/JABEANP/JABEAN/81ABEAOf8sABEAOv98ABEAPP87ABEAP/8sABEAWf9yABEAWv+4ABEAXP98ABEAa//JABEAbP+IABEAbf87ABEAb/87ABEAcP/JABEAcv+IABEAef87ABEAfP+IABEAff87ABEAif/JABEAlP/JABEAlf/JABEAlv/JABEAl//JABEAmP/JABEAmv/JABEAn/87ABEAv/9yABEAwf9yABEAw//JABEAyP87ABEAyf87ABEAyv+IABEAy/+IABEAzf+IABEAzv+IABEA0P87ABEA0f87ABEA0v87ABIABQA2ABIACf+OABIACgA2ABIADQA2ABIAD/9BABIAEP+GABIAEf9BABIAEv+OABIAHf+rABIAHv+rABIAIgA6ABIAI//YABIAJP+OABIAJv/YABIAKv/YABIALf9pABIAMv/YABIANP/YABIARP+LABIARv+LABIAR/+LABIASP+LABIAUP+rABIAUf+rABIAUv+LABIAU/+rABIAVP+LABIAVf+rABIAVv+QABIAWP+rABIAWf/cABIAWv/cABIAXP/cABIAXf+4ABIAa//YABIAbAA2ABIAbf+GABIAb/+GABIAcP/YABIAcgA2ABIAdABQABIAdQBQABIAd/+rABIAef+GABIAewBQABIAfAA2ABIAff+GABIAgv+OABIAg/+OABIAhP+OABIAhf+OABIAhv+OABIAh/+OABIAiP+OABIAif/YABIAlP/YABIAlf/YABIAlv/YABIAl//YABIAmP/YABIAmv/YABIAov+LABIAo/+LABIApP+LABIApf+LABIApv+LABIAp/+LABIAqP+LABIAqf+LABIAqv+LABIAq/+LABIArP+LABIArf+LABIAsv+LABIAs/+rABIAtP+LABIAtf+LABIAtv+LABIAt/+LABIAuP+LABIAuv+LABIAu/+rABIAvP+rABIAvf+rABIAvv+rABIAv//cABIAwf/cABIAw//YABIAxP+LABIAyP+GABIAyf+GABIAygA2ABIAywA2ABIAzP9BABIAzQA2ABIAzgA2ABIAz/9BABIA0P+GABIA0f+GABIA0v+GACMABf/JACMACf/cACMACv/JACMADP/YACMADf/JACMAEv/cACMAJP/cACMAN/+fACMAOf/NACMAO/+8ACMAPP+wACMAPf+7ACMAP//NACMAQP/YACMAYP/YACMAbP/JACMAcv/JACMAfP/JACMAgv/cACMAg//cACMAhP/cACMAhf/cACMAhv/cACMAh//cACMAiP/cACMAn/+wACMAyv/JACMAy//JACMAzf/JACMAzv/JACQABf9KACQACv9KACQADf9KACQAEP/MACQAI//RACQAJv/RACQAKv/RACQALQA+ACQAMv/RACQANP/RACQAN/98ACQAOP/YACQAOf+OACQAOv+tACQAPP9oACQAP/+OACQAV//HACQAWf/RACQAWv/gACQAXP/RACQAa//RACQAbP9KACQAbf/MACQAb//MACQAcP/RACQAcv9KACQAdP9JACQAdf9JACQAef/MACQAe/9JACQAfP9KACQAff/MACQAif/RACQAlP/RACQAlf/RACQAlv/RACQAl//RACQAmP/RACQAmv/RACQAm//YACQAnP/YACQAnf/YACQAnv/YACQAn/9oACQAv//RACQAwf/RACQAw//RACQAyP/MACQAyf/MACQAyv9KACQAy/9KACQAzf9KACQAzv9KACQA0P/MACQA0f/MACQA0v/MACYAEP+AACYAbf+AACYAb/+AACYAef+AACYAff+AACYAyP+AACYAyf+AACYA0P+AACYA0f+AACYA0v+AACcABf/JACcACf/cACcACv/JACcADP/YACcADf/JACcAEv/cACcAJP/cACcAN/+fACcAOf/NACcAO/+8ACcAPP+wACcAPf+7ACcAP//NACcAQP/YACcAYP/YACcAbP/JACcAcv/JACcAfP/JACcAgv/cACcAg//cACcAhP/cACcAhf/cACcAhv/cACcAh//cACcAiP/cACcAn/+wACcAyv/JACcAy//JACcAzf/JACcAzv/JACkACf98ACkAD/9MACkAEf9MACkAEv98ACkAHf/EACkAHv/EACkAIgAUACkAJP98ACkALf86ACkARP+7ACkARv+7ACkAR/+7ACkASP+7ACkAUP/EACkAUf/EACkAUv+7ACkAU//EACkAVP+7ACkAVf/EACkAWP/EACkAd//EACkAgv98ACkAg/98ACkAhP98ACkAhf98ACkAhv98ACkAh/98ACkAiP98ACkAov+7ACkAo/+7ACkApP+7ACkApf+7ACkApv+7ACkAp/+7ACkAqP+7ACkAqf+7ACkAqv+7ACkAq/+7ACkArP+7ACkArf+7ACkAsv+7ACkAs//EACkAtP+7ACkAtf+7ACkAtv+7ACkAt/+7ACkAuP+7ACkAuv+7ACkAu//EACkAvP/EACkAvf/EACkAvv/EACkAxP+7ACkAzP9MACkAz/9MAC0ACf/YAC0AEv/YAC0AJP/YAC0Agv/YAC0Ag//YAC0AhP/YAC0Ahf/YAC0Ahv/YAC0Ah//YAC0AiP/YAC4ABQAfAC4ACgAfAC4ADQAfAC4AEP+6AC4AI/+aAC4AJv+aAC4AKv+aAC4AMv+aAC4ANP+aAC4ASf/NAC4AV/+QAC4AWf/CAC4AWv/TAC4AXP/CAC4Aa/+aAC4AbAAfAC4Abf+6AC4Ab/+6AC4AcP+aAC4AcgAfAC4Aef+6AC4AfAAfAC4Aff+6AC4Aif+aAC4AlP+aAC4Alf+aAC4Alv+aAC4Al/+aAC4AmP+aAC4Amv+aAC4Av//CAC4Awf/CAC4Aw/+aAC4AyP+6AC4Ayf+6AC4AygAfAC4AywAfAC4AzQAfAC4AzgAfAC4A0P+6AC4A0f+6AC4A0v+6AC8ABf7/AC8ACv7/AC8ADf7/AC8AEP87AC8AI/+lAC8AJv+lAC8AKv+lAC8AMv+lAC8ANP+lAC8AN/84AC8AOf9KAC8AOv9oAC8APP8sAC8AP/9KAC8AWf98AC8AWv+rAC8AXP98AC8Aa/+lAC8AbP7/AC8Abf87AC8Ab/87AC8AcP+lAC8Acv7/AC8AdP8sAC8Adf8sAC8Aef87AC8Ae/8sAC8AfP7/AC8Aff87AC8Aif+lAC8AlP+lAC8Alf+lAC8Alv+lAC8Al/+lAC8AmP+lAC8Amv+lAC8An/8sAC8Av/98AC8Awf98AC8Aw/+lAC8AyP87AC8Ayf87AC8Ayv7/AC8Ay/7/AC8Azf7/AC8Azv7/AC8A0P87AC8A0f87AC8A0v87ADIABf/JADIACf/cADIACv/JADIADP/YADIADf/JADIAEv/cADIAJP/cADIAN/+fADIAOf/NADIAO/+8ADIAPP+wADIAPf+7ADIAP//NADIAQP/YADIAYP/YADIAbP/JADIAcv/JADIAfP/JADIAgv/cADIAg//cADIAhP/cADIAhf/cADIAhv/cADIAh//cADIAiP/cADIAn/+wADIAyv/JADIAy//JADIAzf/JADIAzv/JADMACf92ADMAD/9DADMAEf9DADMAEv92ADMAJP92ADMALf9KADMARP/iADMARv/iADMAR//iADMASP/iADMAUv/iADMAVP/iADMAgv92ADMAg/92ADMAhP92ADMAhf92ADMAhv92ADMAh/92ADMAiP92ADMAov/iADMAo//iADMApP/iADMApf/iADMApv/iADMAp//iADMAqP/iADMAqf/iADMAqv/iADMAq//iADMArP/iADMArf/iADMAsv/iADMAtP/iADMAtf/iADMAtv/iADMAt//iADMAuP/iADMAuv/iADMAxP/iADMAzP9DADMAz/9DADQABf/JADQACf/cADQACv/JADQADP/YADQADf/JADQAEv/cADQAJP/cADQAN/+fADQAOf/NADQAO/+8ADQAPP+wADQAPf+7ADQAP//NADQAQP/YADQAYP/YADQAbP/JADQAcv/JADQAfP/JADQAgv/cADQAg//cADQAhP/cADQAhf/cADQAhv/cADQAh//cADQAiP/cADQAn/+wADQAyv/JADQAy//JADQAzf/JADQAzv/JADUAI//YADUAJv/YADUAKv/YADUAMv/YADUANP/YADUAN//NADUAOP/WADUAa//YADUAcP/YADUAif/YADUAlP/YADUAlf/YADUAlv/YADUAl//YADUAmP/YADUAmv/YADUAm//WADUAnP/WADUAnf/WADUAnv/WADUAw//YADcACf98ADcAD/9MADcAEP9MADcAEf9MADcAEv98ADcAHf9mADcAHv9mADcAIgAnADcAI/+fADcAJP98ADcAJv+fADcAKv+fADcALf84ADcAMv+fADcANP+fADcARP8vADcARv8vADcAR/8vADcASP8vADcASv9FADcAUP9mADcAUf9mADcAUv8vADcAU/9mADcAVP8vADcAVf9mADcAVv9KADcAWP9mADcAWf9XADcAWv9/ADcAW/9aADcAXP9MADcAXf9fADcAa/+fADcAbf9MADcAb/9MADcAcP+fADcAd/9mADcAef9MADcAff9MADcAgv98ADcAg/98ADcAhP98ADcAhf98ADcAhv98ADcAh/98ADcAiP98ADcAif+fADcAlP+fADcAlf+fADcAlv+fADcAl/+fADcAmP+fADcAmv+fADcAov8vADcAo/8vADcApP8vADcApf8vADcApv8vADcAp/8vADcAqP8vADcAqf8vADcAqv8vADcAq/8vADcArP8vADcArf8vADcAsv8vADcAs/9mADcAtP8vADcAtf8vADcAtv8vADcAt/8vADcAuP8vADcAuv8vADcAu/9mADcAvP9mADcAvf9mADcAvv9mADcAv/9XADcAwf9XADcAw/+fADcAxP8vADcAyP9MADcAyf9MADcAzP9MADcAz/9MADcA0P9MADcA0f9MADcA0v9MADgACf/YADgAEv/YADgAJP/YADgAgv/YADgAg//YADgAhP/YADgAhf/YADgAhv/YADgAh//YADgAiP/YADkABQA2ADkACf+OADkACgA2ADkADQA2ADkAD/9BADkAEP+GADkAEf9BADkAEv+OADkAHf+rADkAHv+rADkAIgA6ADkAI//YADkAJP+OADkAJv/YADkAKv/YADkALf9pADkAMv/YADkANP/YADkARP+LADkARv+LADkAR/+LADkASP+LADkAUP+rADkAUf+rADkAUv+LADkAU/+rADkAVP+LADkAVf+rADkAVv+QADkAWP+rADkAWf/cADkAWv/cADkAXP/cADkAXf+4ADkAa//YADkAbAA2ADkAbf+GADkAb/+GADkAcP/YADkAcgA2ADkAdABQADkAdQBQADkAd/+rADkAef+GADkAewBQADkAfAA2ADkAff+GADkAgv+OADkAg/+OADkAhP+OADkAhf+OADkAhv+OADkAh/+OADkAiP+OADkAif/YADkAlP/YADkAlf/YADkAlv/YADkAl//YADkAmP/YADkAmv/YADkAov+LADkAo/+LADkApP+LADkApf+LADkApv+LADkAp/+LADkAqP+LADkAqf+LADkAqv+LADkAq/+LADkArP+LADkArf+LADkAsv+LADkAs/+rADkAtP+LADkAtf+LADkAtv+LADkAt/+LADkAuP+LADkAuv+LADkAu/+rADkAvP+rADkAvf+rADkAvv+rADkAv//cADkAwf/cADkAw//YADkAxP+LADkAyP+GADkAyf+GADkAygA2ADkAywA2ADkAzP9BADkAzQA2ADkAzgA2ADkAz/9BADkA0P+GADkA0f+GADkA0v+GADoABQA6ADoACf+4ADoACgA6ADoADQA6ADoAD/+cADoAEf+cADoAEv+4ADoAHf++ADoAHv++ADoAJP+4ADoALf+aADoARP+XADoARv+XADoAR/+XADoASP+XADoASv+sADoAUP++ADoAUf++ADoAUv+XADoAU/++ADoAVP+XADoAVf++ADoAVv+qADoAWP++ADoAbAA6ADoAcgA6ADoAdAA8ADoAdQA8ADoAd/++ADoAewA8ADoAfAA6ADoAgv+4ADoAg/+4ADoAhP+4ADoAhf+4ADoAhv+4ADoAh/+4ADoAiP+4ADoAov+XADoAo/+XADoApP+XADoApf+XADoApv+XADoAp/+XADoAqP+XADoAqf+XADoAqv+XADoAq/+XADoArP+XADoArf+XADoAsv+XADoAs/++ADoAtP+XADoAtf+XADoAtv+XADoAt/+XADoAuP+XADoAuv+XADoAu/++ADoAvP++ADoAvf++ADoAvv++ADoAxP+XADoAygA6ADoAywA6ADoAzP+cADoAzQA6ADoAzgA6ADoAz/+cADsABQAfADsACgAfADsADQAfADsAEP+6ADsAI/+aADsAJv+aADsAKv+aADsAMv+aADsANP+aADsASf/NADsAV/+QADsAWf/CADsAWv/TADsAXP/CADsAa/+aADsAbAAfADsAbf+6ADsAb/+6ADsAcP+aADsAcgAfADsAef+6ADsAfAAfADsAff+6ADsAif+aADsAlP+aADsAlf+aADsAlv+aADsAl/+aADsAmP+aADsAmv+aADsAv//CADsAwf/CADsAw/+aADsAyP+6ADsAyf+6ADsAygAfADsAywAfADsAzQAfADsAzgAfADsA0P+6ADsA0f+6ADsA0v+6ADwABQA3ADwACf9yADwACgA3ADwADQA3ADwAD/8nADwAEP9KADwAEf8nADwAEv9yADwAHf+NADwAHv+NADwAIgAyADwAI/+7ADwAJP9yADwAJv+7ADwAKv+7ADwALf84ADwAMv+7ADwANP+7ADwARP9BADwARv9BADwAR/9BADwASP9BADwASv9XADwAUP+NADwAUf+NADwAUv9BADwAU/+NADwAVP9BADwAVf+NADwAVv9BADwAWP+NADwAXf+cADwAa/+7ADwAbAA3ADwAbf9KADwAb/9KADwAcP+7ADwAcgA3ADwAdAA+ADwAdQA+ADwAd/+NADwAef9KADwAewA+ADwAfAA3ADwAff9KADwAgv9yADwAg/9yADwAhP9yADwAhf9yADwAhv9yADwAh/9yADwAiP9yADwAif+7ADwAlP+7ADwAlf+7ADwAlv+7ADwAl/+7ADwAmP+7ADwAmv+7ADwAov9BADwAo/9BADwApP9BADwApf9BADwApv9BADwAp/9BADwAqP9BADwAqf9BADwAqv9BADwAq/9BADwArP9BADwArf9BADwAsv9BADwAs/+NADwAtP9BADwAtf9BADwAtv9BADwAt/9BADwAuP9BADwAuv9BADwAu/+NADwAvP+NADwAvf+NADwAvv+NADwAw/+7ADwAxP9BADwAyP9KADwAyf9KADwAygA3ADwAywA3ADwAzP8nADwAzQA3ADwAzgA3ADwAz/8nADwA0P9KADwA0f9KADwA0v9KAD0AEP+rAD0AIgAjAD0AI//GAD0AJv/GAD0AKv/GAD0AMv/GAD0ANP/GAD0Aa//GAD0Abf+rAD0Ab/+rAD0AcP/GAD0Aef+rAD0Aff+rAD0Aif/GAD0AlP/GAD0Alf/GAD0Alv/GAD0Al//GAD0AmP/GAD0Amv/GAD0Aw//GAD0AyP+rAD0Ayf+rAD0A0P+rAD0A0f+rAD0A0v+rAD4AI//YAD4AJv/YAD4AKv/YAD4AMv/YAD4ANP/YAD4ARP/hAD4ARv/hAD4AR//hAD4ASP/hAD4AUv/hAD4AVP/hAD4Aa//YAD4AcP/YAD4Aif/YAD4AlP/YAD4Alf/YAD4Alv/YAD4Al//YAD4AmP/YAD4Amv/YAD4Aov/hAD4Ao//hAD4ApP/hAD4Apf/hAD4Apv/hAD4Ap//hAD4AqP/hAD4Aqf/hAD4Aqv/hAD4Aq//hAD4ArP/hAD4Arf/hAD4Asv/hAD4AtP/hAD4Atf/hAD4Atv/hAD4At//hAD4AuP/hAD4Auv/hAD4Aw//YAD4AxP/hAD8ABf9KAD8ACv9KAD8ADf9KAD8AEP/MAD8AI//RAD8AJv/RAD8AKv/RAD8ALQA+AD8AMv/RAD8ANP/RAD8AN/98AD8AOP/YAD8AOf+OAD8AOv+tAD8APP9oAD8AP/+OAD8AV//HAD8AWf/RAD8AWv/gAD8AXP/RAD8Aa//RAD8AbP9KAD8Abf/MAD8Ab//MAD8AcP/RAD8Acv9KAD8AdP9JAD8Adf9JAD8Aef/MAD8Ae/9JAD8AfP9KAD8Aff/MAD8Aif/RAD8AlP/RAD8Alf/RAD8Alv/RAD8Al//RAD8AmP/RAD8Amv/RAD8Am//YAD8AnP/YAD8Anf/YAD8Anv/YAD8An/9oAD8Av//RAD8Awf/RAD8Aw//RAD8AyP/MAD8Ayf/MAD8Ayv9KAD8Ay/9KAD8Azf9KAD8Azv9KAD8A0P/MAD8A0f/MAD8A0v/MAEUABf+wAEUACv+wAEUADP/hAEUADf+wAEUAQP/hAEUAW//NAEUAYP/hAEUAbP+wAEUAcv+wAEUAfP+wAEUAyv+wAEUAy/+wAEUAzf+wAEUAzv+wAEgABf+wAEgACv+wAEgADP/hAEgADf+wAEgAQP/hAEgAW//NAEgAYP/hAEgAbP+wAEgAcv+wAEgAfP+wAEgAyv+wAEgAy/+wAEgAzf+wAEgAzv+wAEkABQBFAEkACgBFAEkADQBFAEkAD/9/AEkAEf9/AEkAbABFAEkAcgBFAEkAdABkAEkAdQBkAEkAewBkAEkAfABFAEkAygBFAEkAywBFAEkAzP9/AEkAzQBFAEkAzgBFAEkAz/9/AEsABf/EAEsACv/EAEsADf/EAEsAWf/hAEsAXP/WAEsAbP/EAEsAcv/EAEsAdP+ZAEsAdf+ZAEsAe/+ZAEsAfP/EAEsAv//hAEsAwf/hAEsAyv/EAEsAy//EAEsAzf/EAEsAzv/EAE4ARP/NAE4ARv/NAE4AR//NAE4ASP/NAE4AUv/NAE4AVP/NAE4Aov/NAE4Ao//NAE4ApP/NAE4Apf/NAE4Apv/NAE4Ap//NAE4AqP/NAE4Aqf/NAE4Aqv/NAE4Aq//NAE4ArP/NAE4Arf/NAE4Asv/NAE4AtP/NAE4Atf/NAE4Atv/NAE4At//NAE4AuP/NAE4Auv/NAE4AxP/NAFAABf/EAFAACv/EAFAADf/EAFAAWf/hAFAAXP/WAFAAbP/EAFAAcv/EAFAAdP+ZAFAAdf+ZAFAAe/+ZAFAAfP/EAFAAv//hAFAAwf/hAFAAyv/EAFAAy//EAFAAzf/EAFAAzv/EAFEABf/EAFEACv/EAFEADf/EAFEAWf/hAFEAXP/WAFEAbP/EAFEAcv/EAFEAdP+ZAFEAdf+ZAFEAe/+ZAFEAfP/EAFEAv//hAFEAwf/hAFEAyv/EAFEAy//EAFEAzf/EAFEAzv/EAFIABf+wAFIACv+wAFIADP/hAFIADf+wAFIAQP/hAFIAW//NAFIAYP/hAFIAbP+wAFIAcv+wAFIAfP+wAFIAyv+wAFIAy/+wAFIAzf+wAFIAzv+wAFMABf+wAFMACv+wAFMADP/hAFMADf+wAFMAQP/hAFMAW//NAFMAYP/hAFMAbP+wAFMAcv+wAFMAfP+wAFMAyv+wAFMAy/+wAFMAzf+wAFMAzv+wAFUAD/9oAFUAEf9oAFUARP/YAFUARv/YAFUAR//YAFUASP/YAFUAUv/YAFUAVP/YAFUAov/YAFUAo//YAFUApP/YAFUApf/YAFUApv/YAFUAp//YAFUAqP/YAFUAqf/YAFUAqv/YAFUAq//YAFUArP/YAFUArf/YAFUAsv/YAFUAtP/YAFUAtf/YAFUAtv/YAFUAt//YAFUAuP/YAFUAuv/YAFUAxP/YAFUAzP9oAFUAz/9oAFkACf/RAFkAD/9yAFkAEf9yAFkAEv/RAFkAJP/RAFkARP/mAFkARv/mAFkAR//mAFkASP/mAFkAUv/mAFkAVP/mAFkAgv/RAFkAg//RAFkAhP/RAFkAhf/RAFkAhv/RAFkAh//RAFkAiP/RAFkAov/mAFkAo//mAFkApP/mAFkApf/mAFkApv/mAFkAp//mAFkAqP/mAFkAqf/mAFkAqv/mAFkAq//mAFkArP/mAFkArf/mAFkAsv/mAFkAtP/mAFkAtf/mAFkAtv/mAFkAt//mAFkAuP/mAFkAuv/mAFkAxP/mAFkAzP9yAFkAz/9yAFoACf/gAFoAD/+tAFoAEf+tAFoAEv/gAFoAJP/gAFoAgv/gAFoAg//gAFoAhP/gAFoAhf/gAFoAhv/gAFoAh//gAFoAiP/gAFoAzP+tAFoAz/+tAFsARP/NAFsARv/NAFsAR//NAFsASP/NAFsAUv/NAFsAVP/NAFsAov/NAFsAo//NAFsApP/NAFsApf/NAFsApv/NAFsAp//NAFsAqP/NAFsAqf/NAFsAqv/NAFsAq//NAFsArP/NAFsArf/NAFsAsv/NAFsAtP/NAFsAtf/NAFsAtv/NAFsAt//NAFsAuP/NAFsAuv/NAFsAxP/NAFwACf/RAFwAD/9oAFwAEf9oAFwAEv/RAFwAJP/RAFwARP/mAFwARv/mAFwAR//mAFwASP/mAFwAUv/mAFwAVP/mAFwAgv/RAFwAg//RAFwAhP/RAFwAhf/RAFwAhv/RAFwAh//RAFwAiP/RAFwAov/mAFwAo//mAFwApP/mAFwApf/mAFwApv/mAFwAp//mAFwAqP/mAFwAqf/mAFwAqv/mAFwAq//mAFwArP/mAFwArf/mAFwAsv/mAFwAtP/mAFwAtf/mAFwAtv/mAFwAt//mAFwAuP/mAFwAuv/mAFwAxP/mAFwAzP9oAFwAz/9oAF4AI//YAF4AJv/YAF4AKv/YAF4AMv/YAF4ANP/YAF4ARP/hAF4ARv/hAF4AR//hAF4ASP/hAF4AUv/hAF4AVP/hAF4Aa//YAF4AcP/YAF4Aif/YAF4AlP/YAF4Alf/YAF4Alv/YAF4Al//YAF4AmP/YAF4Amv/YAF4Aov/hAF4Ao//hAF4ApP/hAF4Apf/hAF4Apv/hAF4Ap//hAF4AqP/hAF4Aqf/hAF4Aqv/hAF4Aq//hAF4ArP/hAF4Arf/hAF4Asv/hAF4AtP/hAF4Atf/hAF4Atv/hAF4At//hAF4AuP/hAF4Auv/hAF4Aw//YAF4AxP/hAGsABf/JAGsACf/cAGsACv/JAGsADP/YAGsADf/JAGsAEv/cAGsAJP/cAGsAN/+fAGsAOf/NAGsAO/+8AGsAPP+wAGsAPf+7AGsAP//NAGsAQP/YAGsAYP/YAGsAbP/JAGsAcv/JAGsAfP/JAGsAgv/cAGsAg//cAGsAhP/cAGsAhf/cAGsAhv/cAGsAh//cAGsAiP/cAGsAn/+wAGsAyv/JAGsAy//JAGsAzf/JAGsAzv/JAGwACf9VAGwAD/+kAGwAEP+tAGwAEf+kAGwAEv9VAGwAJP9VAGwAOQA2AGwAOgAwAGwAPAAtAGwAPwA2AGwARP+lAGwARv+lAGwAR/+lAGwASP+lAGwAUv+lAGwAVP+lAGwAbf+tAGwAb/+tAGwAef+tAGwAff+tAGwAgv9VAGwAg/9VAGwAhP9VAGwAhf9VAGwAhv9VAGwAh/9VAGwAiP9VAGwAnwAtAGwAov+lAGwAo/+lAGwApP+lAGwApf+lAGwApv+lAGwAp/+lAGwAqP+lAGwAqf+lAGwAqv+lAGwAq/+lAGwArP+lAGwArf+lAGwAsv+lAGwAtP+lAGwAtf+lAGwAtv+lAGwAt/+lAGwAuP+lAGwAuv+lAGwAxP+lAGwAyP+tAGwAyf+tAGwAzP+kAGwAz/+kAGwA0P+tAGwA0f+tAGwA0v+tAG0ABf+tAG0ACf/MAG0ACv+tAG0ADf+tAG0AD/9eAG0AEf9eAG0AEv/MAG0AJP/MAG0AN/9BAG0AOf+GAG0AO/+6AG0APP9AAG0APf/JAG0AP/+GAG0AbP+tAG0Acv+tAG0AfP+tAG0Agv/MAG0Ag//MAG0AhP/MAG0Ahf/MAG0Ahv/MAG0Ah//MAG0AiP/MAG0An/9AAG0Ayv+tAG0Ay/+tAG0AzP9eAG0Azf+tAG0Azv+tAG0Az/9eAG8ABf+tAG8ACf/MAG8ACv+tAG8ADf+tAG8AD/9eAG8AEf9eAG8AEv/MAG8AJP/MAG8AN/9BAG8AOf+GAG8AO/+6AG8APP9AAG8APf/JAG8AP/+GAG8AbP+tAG8Acv+tAG8AfP+tAG8Agv/MAG8Ag//MAG8AhP/MAG8Ahf/MAG8Ahv/MAG8Ah//MAG8AiP/MAG8An/9AAG8Ayv+tAG8Ay/+tAG8AzP9eAG8Azf+tAG8Azv+tAG8Az/9eAHAABf/JAHAACf/cAHAACv/JAHAADP/YAHAADf/JAHAAEv/cAHAAJP/cAHAAN/+fAHAAOf/NAHAAO/+8AHAAPP+wAHAAPf+7AHAAP//NAHAAQP/YAHAAYP/YAHAAbP/JAHAAcv/JAHAAfP/JAHAAgv/cAHAAg//cAHAAhP/cAHAAhf/cAHAAhv/cAHAAh//cAHAAiP/cAHAAn/+wAHAAyv/JAHAAy//JAHAAzf/JAHAAzv/JAHIACf9VAHIAD/+kAHIAEP+tAHIAEf+kAHIAEv9VAHIAJP9VAHIAOQA2AHIAOgAwAHIAPAAtAHIAPwA2AHIARP+lAHIARv+lAHIAR/+lAHIASP+lAHIAUv+lAHIAVP+lAHIAbf+tAHIAb/+tAHIAef+tAHIAff+tAHIAgv9VAHIAg/9VAHIAhP9VAHIAhf9VAHIAhv9VAHIAh/9VAHIAiP9VAHIAnwAtAHIAov+lAHIAo/+lAHIApP+lAHIApf+lAHIApv+lAHIAp/+lAHIAqP+lAHIAqf+lAHIAqv+lAHIAq/+lAHIArP+lAHIArf+lAHIAsv+lAHIAtP+lAHIAtf+lAHIAtv+lAHIAt/+lAHIAuP+lAHIAuv+lAHIAxP+lAHIAyP+tAHIAyf+tAHIAzP+kAHIAz/+kAHIA0P+tAHIA0f+tAHIA0v+tAHQACf9UAHQAEv9UAHQAJP9UAHQAOQA6AHQAOgA6AHQAPAAoAHQAPwA6AHQAgv9UAHQAg/9UAHQAhP9UAHQAhf9UAHQAhv9UAHQAh/9UAHQAiP9UAHQAnwAoAHUACf9UAHUAEv9UAHUAJP9UAHUAOQA6AHUAOgA6AHUAPAAoAHUAPwA6AHUAgv9UAHUAg/9UAHUAhP9UAHUAhf9UAHUAhv9UAHUAh/9UAHUAiP9UAHUAnwAoAHkABf+tAHkACf/MAHkACv+tAHkADf+tAHkAD/9eAHkAEf9eAHkAEv/MAHkAJP/MAHkAN/9BAHkAOf+GAHkAO/+6AHkAPP9AAHkAPf/JAHkAP/+GAHkAbP+tAHkAcv+tAHkAfP+tAHkAgv/MAHkAg//MAHkAhP/MAHkAhf/MAHkAhv/MAHkAh//MAHkAiP/MAHkAn/9AAHkAyv+tAHkAy/+tAHkAzP9eAHkAzf+tAHkAzv+tAHkAz/9eAHsACf9UAHsAEv9UAHsAJP9UAHsAOQA6AHsAOgA6AHsAPAAoAHsAPwA6AHsAgv9UAHsAg/9UAHsAhP9UAHsAhf9UAHsAhv9UAHsAh/9UAHsAiP9UAHsAnwAoAHwACf9VAHwAD/+kAHwAEP+tAHwAEf+kAHwAEv9VAHwAJP9VAHwAOQA2AHwAOgAwAHwAPAAtAHwAPwA2AHwARP+lAHwARv+lAHwAR/+lAHwASP+lAHwAUv+lAHwAVP+lAHwAbf+tAHwAb/+tAHwAef+tAHwAff+tAHwAgv9VAHwAg/9VAHwAhP9VAHwAhf9VAHwAhv9VAHwAh/9VAHwAiP9VAHwAnwAtAHwAov+lAHwAo/+lAHwApP+lAHwApf+lAHwApv+lAHwAp/+lAHwAqP+lAHwAqf+lAHwAqv+lAHwAq/+lAHwArP+lAHwArf+lAHwAsv+lAHwAtP+lAHwAtf+lAHwAtv+lAHwAt/+lAHwAuP+lAHwAuv+lAHwAxP+lAHwAyP+tAHwAyf+tAHwAzP+kAHwAz/+kAHwA0P+tAHwA0f+tAHwA0v+tAH0ABf+tAH0ACf/MAH0ACv+tAH0ADf+tAH0AD/9eAH0AEf9eAH0AEv/MAH0AJP/MAH0AN/9BAH0AOf+GAH0AO/+6AH0APP9AAH0APf/JAH0AP/+GAH0AbP+tAH0Acv+tAH0AfP+tAH0Agv/MAH0Ag//MAH0AhP/MAH0Ahf/MAH0Ahv/MAH0Ah//MAH0AiP/MAH0An/9AAH0Ayv+tAH0Ay/+tAH0AzP9eAH0Azf+tAH0Azv+tAH0Az/9eAIIABf9KAIIACv9KAIIADf9KAIIAEP/MAIIAI//RAIIAJv/RAIIAKv/RAIIALQA+AIIAMv/RAIIANP/RAIIAN/98AIIAOP/YAIIAOf+OAIIAOv+tAIIAPP9oAIIAP/+OAIIAV//HAIIAWf/RAIIAWv/gAIIAXP/RAIIAa//RAIIAbP9KAIIAbf/MAIIAb//MAIIAcP/RAIIAcv9KAIIAdP9JAIIAdf9JAIIAef/MAIIAe/9JAIIAfP9KAIIAff/MAIIAif/RAIIAlP/RAIIAlf/RAIIAlv/RAIIAl//RAIIAmP/RAIIAmv/RAIIAm//YAIIAnP/YAIIAnf/YAIIAnv/YAIIAn/9oAIIAv//RAIIAwf/RAIIAw//RAIIAyP/MAIIAyf/MAIIAyv9KAIIAy/9KAIIAzf9KAIIAzv9KAIIA0P/MAIIA0f/MAIIA0v/MAIMABf9KAIMACv9KAIMADf9KAIMAEP/MAIMAI//RAIMAJv/RAIMAKv/RAIMALQA+AIMAMv/RAIMANP/RAIMAN/98AIMAOP/YAIMAOf+OAIMAOv+tAIMAPP9oAIMAP/+OAIMAV//HAIMAWf/RAIMAWv/gAIMAXP/RAIMAa//RAIMAbP9KAIMAbf/MAIMAb//MAIMAcP/RAIMAcv9KAIMAdP9JAIMAdf9JAIMAef/MAIMAe/9JAIMAfP9KAIMAff/MAIMAif/RAIMAlP/RAIMAlf/RAIMAlv/RAIMAl//RAIMAmP/RAIMAmv/RAIMAm//YAIMAnP/YAIMAnf/YAIMAnv/YAIMAn/9oAIMAv//RAIMAwf/RAIMAw//RAIMAyP/MAIMAyf/MAIMAyv9KAIMAy/9KAIMAzf9KAIMAzv9KAIMA0P/MAIMA0f/MAIMA0v/MAIQABf9KAIQACv9KAIQADf9KAIQAEP/MAIQAI//RAIQAJv/RAIQAKv/RAIQALQA+AIQAMv/RAIQANP/RAIQAN/98AIQAOP/YAIQAOf+OAIQAOv+tAIQAPP9oAIQAP/+OAIQAV//HAIQAWf/RAIQAWv/gAIQAXP/RAIQAa//RAIQAbP9KAIQAbf/MAIQAb//MAIQAcP/RAIQAcv9KAIQAdP9JAIQAdf9JAIQAef/MAIQAe/9JAIQAfP9KAIQAff/MAIQAif/RAIQAlP/RAIQAlf/RAIQAlv/RAIQAl//RAIQAmP/RAIQAmv/RAIQAm//YAIQAnP/YAIQAnf/YAIQAnv/YAIQAn/9oAIQAv//RAIQAwf/RAIQAw//RAIQAyP/MAIQAyf/MAIQAyv9KAIQAy/9KAIQAzf9KAIQAzv9KAIQA0P/MAIQA0f/MAIQA0v/MAIUABf9KAIUACv9KAIUADf9KAIUAEP/MAIUAI//RAIUAJv/RAIUAKv/RAIUALQA+AIUAMv/RAIUANP/RAIUAN/98AIUAOP/YAIUAOf+OAIUAOv+tAIUAPP9oAIUAP/+OAIUAV//HAIUAWf/RAIUAWv/gAIUAXP/RAIUAa//RAIUAbP9KAIUAbf/MAIUAb//MAIUAcP/RAIUAcv9KAIUAdP9JAIUAdf9JAIUAef/MAIUAe/9JAIUAfP9KAIUAff/MAIUAif/RAIUAlP/RAIUAlf/RAIUAlv/RAIUAl//RAIUAmP/RAIUAmv/RAIUAm//YAIUAnP/YAIUAnf/YAIUAnv/YAIUAn/9oAIUAv//RAIUAwf/RAIUAw//RAIUAyP/MAIUAyf/MAIUAyv9KAIUAy/9KAIUAzf9KAIUAzv9KAIUA0P/MAIUA0f/MAIUA0v/MAIYABf9KAIYACv9KAIYADf9KAIYAEP/MAIYAI//RAIYAJv/RAIYAKv/RAIYALQA+AIYAMv/RAIYANP/RAIYAN/98AIYAOP/YAIYAOf+OAIYAOv+tAIYAPP9oAIYAP/+OAIYAV//HAIYAWf/RAIYAWv/gAIYAXP/RAIYAa//RAIYAbP9KAIYAbf/MAIYAb//MAIYAcP/RAIYAcv9KAIYAdP9JAIYAdf9JAIYAef/MAIYAe/9JAIYAfP9KAIYAff/MAIYAif/RAIYAlP/RAIYAlf/RAIYAlv/RAIYAl//RAIYAmP/RAIYAmv/RAIYAm//YAIYAnP/YAIYAnf/YAIYAnv/YAIYAn/9oAIYAv//RAIYAwf/RAIYAw//RAIYAyP/MAIYAyf/MAIYAyv9KAIYAy/9KAIYAzf9KAIYAzv9KAIYA0P/MAIYA0f/MAIYA0v/MAIcABf9KAIcACv9KAIcADf9KAIcAEP/MAIcAI//RAIcAJv/RAIcAKv/RAIcALQA+AIcAMv/RAIcANP/RAIcAN/98AIcAOP/YAIcAOf+OAIcAOv+tAIcAPP9oAIcAP/+OAIcAV//HAIcAWf/RAIcAWv/gAIcAXP/RAIcAa//RAIcAbP9KAIcAbf/MAIcAb//MAIcAcP/RAIcAcv9KAIcAdP9JAIcAdf9JAIcAef/MAIcAe/9JAIcAfP9KAIcAff/MAIcAif/RAIcAlP/RAIcAlf/RAIcAlv/RAIcAl//RAIcAmP/RAIcAmv/RAIcAm//YAIcAnP/YAIcAnf/YAIcAnv/YAIcAn/9oAIcAv//RAIcAwf/RAIcAw//RAIcAyP/MAIcAyf/MAIcAyv9KAIcAy/9KAIcAzf9KAIcAzv9KAIcA0P/MAIcA0f/MAIcA0v/MAIkAEP+AAIkAbf+AAIkAb/+AAIkAef+AAIkAff+AAIkAyP+AAIkAyf+AAIkA0P+AAIkA0f+AAIkA0v+AAJIABf/JAJIACf/cAJIACv/JAJIADP/YAJIADf/JAJIAEv/cAJIAJP/cAJIAN/+fAJIAOf/NAJIAO/+8AJIAPP+wAJIAPf+7AJIAP//NAJIAQP/YAJIAYP/YAJIAbP/JAJIAcv/JAJIAfP/JAJIAgv/cAJIAg//cAJIAhP/cAJIAhf/cAJIAhv/cAJIAh//cAJIAiP/cAJIAn/+wAJIAyv/JAJIAy//JAJIAzf/JAJIAzv/JAJQABf/JAJQACf/cAJQACv/JAJQADP/YAJQADf/JAJQAEv/cAJQAJP/cAJQAN/+fAJQAOf/NAJQAO/+8AJQAPP+wAJQAPf+7AJQAP//NAJQAQP/YAJQAYP/YAJQAbP/JAJQAcv/JAJQAfP/JAJQAgv/cAJQAg//cAJQAhP/cAJQAhf/cAJQAhv/cAJQAh//cAJQAiP/cAJQAn/+wAJQAyv/JAJQAy//JAJQAzf/JAJQAzv/JAJUABf/JAJUACf/cAJUACv/JAJUADP/YAJUADf/JAJUAEv/cAJUAJP/cAJUAN/+fAJUAOf/NAJUAO/+8AJUAPP+wAJUAPf+7AJUAP//NAJUAQP/YAJUAYP/YAJUAbP/JAJUAcv/JAJUAfP/JAJUAgv/cAJUAg//cAJUAhP/cAJUAhf/cAJUAhv/cAJUAh//cAJUAiP/cAJUAn/+wAJUAyv/JAJUAy//JAJUAzf/JAJUAzv/JAJYABf/JAJYACf/cAJYACv/JAJYADP/YAJYADf/JAJYAEv/cAJYAJP/cAJYAN/+fAJYAOf/NAJYAO/+8AJYAPP+wAJYAPf+7AJYAP//NAJYAQP/YAJYAYP/YAJYAbP/JAJYAcv/JAJYAfP/JAJYAgv/cAJYAg//cAJYAhP/cAJYAhf/cAJYAhv/cAJYAh//cAJYAiP/cAJYAn/+wAJYAyv/JAJYAy//JAJYAzf/JAJYAzv/JAJcABf/JAJcACf/cAJcACv/JAJcADP/YAJcADf/JAJcAEv/cAJcAJP/cAJcAN/+fAJcAOf/NAJcAO/+8AJcAPP+wAJcAPf+7AJcAP//NAJcAQP/YAJcAYP/YAJcAbP/JAJcAcv/JAJcAfP/JAJcAgv/cAJcAg//cAJcAhP/cAJcAhf/cAJcAhv/cAJcAh//cAJcAiP/cAJcAn/+wAJcAyv/JAJcAy//JAJcAzf/JAJcAzv/JAJgABf/JAJgACf/cAJgACv/JAJgADP/YAJgADf/JAJgAEv/cAJgAJP/cAJgAN/+fAJgAOf/NAJgAO/+8AJgAPP+wAJgAPf+7AJgAP//NAJgAQP/YAJgAYP/YAJgAbP/JAJgAcv/JAJgAfP/JAJgAgv/cAJgAg//cAJgAhP/cAJgAhf/cAJgAhv/cAJgAh//cAJgAiP/cAJgAn/+wAJgAyv/JAJgAy//JAJgAzf/JAJgAzv/JAJsACf/YAJsAEv/YAJsAJP/YAJsAgv/YAJsAg//YAJsAhP/YAJsAhf/YAJsAhv/YAJsAh//YAJsAiP/YAJwACf/YAJwAEv/YAJwAJP/YAJwAgv/YAJwAg//YAJwAhP/YAJwAhf/YAJwAhv/YAJwAh//YAJwAiP/YAJ0ACf/YAJ0AEv/YAJ0AJP/YAJ0Agv/YAJ0Ag//YAJ0AhP/YAJ0Ahf/YAJ0Ahv/YAJ0Ah//YAJ0AiP/YAJ4ACf/YAJ4AEv/YAJ4AJP/YAJ4Agv/YAJ4Ag//YAJ4AhP/YAJ4Ahf/YAJ4Ahv/YAJ4Ah//YAJ4AiP/YAJ8ABQA3AJ8ACf9yAJ8ACgA3AJ8ADQA3AJ8AD/8nAJ8AEP9KAJ8AEf8nAJ8AEv9yAJ8AHf+NAJ8AHv+NAJ8AIgAyAJ8AI/+7AJ8AJP9yAJ8AJv+7AJ8AKv+7AJ8ALf84AJ8AMv+7AJ8ANP+7AJ8ARP9BAJ8ARv9BAJ8AR/9BAJ8ASP9BAJ8ASv9XAJ8AUP+NAJ8AUf+NAJ8AUv9BAJ8AU/+NAJ8AVP9BAJ8AVf+NAJ8AVv9BAJ8AWP+NAJ8AXf+cAJ8Aa/+7AJ8AbAA3AJ8Abf9KAJ8Ab/9KAJ8AcP+7AJ8AcgA3AJ8AdAA+AJ8AdQA+AJ8Ad/+NAJ8Aef9KAJ8AewA+AJ8AfAA3AJ8Aff9KAJ8Agv9yAJ8Ag/9yAJ8AhP9yAJ8Ahf9yAJ8Ahv9yAJ8Ah/9yAJ8AiP9yAJ8Aif+7AJ8AlP+7AJ8Alf+7AJ8Alv+7AJ8Al/+7AJ8AmP+7AJ8Amv+7AJ8Aov9BAJ8Ao/9BAJ8ApP9BAJ8Apf9BAJ8Apv9BAJ8Ap/9BAJ8AqP9BAJ8Aqf9BAJ8Aqv9BAJ8Aq/9BAJ8ArP9BAJ8Arf9BAJ8Asv9BAJ8As/+NAJ8AtP9BAJ8Atf9BAJ8Atv9BAJ8At/9BAJ8AuP9BAJ8Auv9BAJ8Au/+NAJ8AvP+NAJ8Avf+NAJ8Avv+NAJ8Aw/+7AJ8AxP9BAJ8AyP9KAJ8Ayf9KAJ8AygA3AJ8AywA3AJ8AzP8nAJ8AzQA3AJ8AzgA3AJ8Az/8nAJ8A0P9KAJ8A0f9KAJ8A0v9KAKAABf/JAKAACf/cAKAACv/JAKAADP/YAKAADf/JAKAAEv/cAKAAJP/cAKAAN/+fAKAAOf/NAKAAO/+8AKAAPP+wAKAAPf+7AKAAP//NAKAAQP/YAKAAYP/YAKAAbP/JAKAAcv/JAKAAfP/JAKAAgv/cAKAAg//cAKAAhP/cAKAAhf/cAKAAhv/cAKAAh//cAKAAiP/cAKAAn/+wAKAAyv/JAKAAy//JAKAAzf/JAKAAzv/JAKgABf+wAKgACv+wAKgADP/hAKgADf+wAKgAQP/hAKgAW//NAKgAYP/hAKgAbP+wAKgAcv+wAKgAfP+wAKgAyv+wAKgAy/+wAKgAzf+wAKgAzv+wAKoABf+wAKoACv+wAKoADP/hAKoADf+wAKoAQP/hAKoAW//NAKoAYP/hAKoAbP+wAKoAcv+wAKoAfP+wAKoAyv+wAKoAy/+wAKoAzf+wAKoAzv+wAKsABf+wAKsACv+wAKsADP/hAKsADf+wAKsAQP/hAKsAW//NAKsAYP/hAKsAbP+wAKsAcv+wAKsAfP+wAKsAyv+wAKsAy/+wAKsAzf+wAKsAzv+wAKwABf+wAKwACv+wAKwADP/hAKwADf+wAKwAQP/hAKwAW//NAKwAYP/hAKwAbP+wAKwAcv+wAKwAfP+wAKwAyv+wAKwAy/+wAKwAzf+wAKwAzv+wAK0ABf+wAK0ACv+wAK0ADP/hAK0ADf+wAK0AQP/hAK0AW//NAK0AYP/hAK0AbP+wAK0Acv+wAK0AfP+wAK0Ayv+wAK0Ay/+wAK0Azf+wAK0Azv+wALMABf/EALMACv/EALMADf/EALMAWf/hALMAXP/WALMAbP/EALMAcv/EALMAdP+ZALMAdf+ZALMAe/+ZALMAfP/EALMAv//hALMAwf/hALMAyv/EALMAy//EALMAzf/EALMAzv/EALQABf+wALQACv+wALQADP/hALQADf+wALQAQP/hALQAW//NALQAYP/hALQAbP+wALQAcv+wALQAfP+wALQAyv+wALQAy/+wALQAzf+wALQAzv+wALUABf+wALUACv+wALUADP/hALUADf+wALUAQP/hALUAW//NALUAYP/hALUAbP+wALUAcv+wALUAfP+wALUAyv+wALUAy/+wALUAzf+wALUAzv+wALYABf+wALYACv+wALYADP/hALYADf+wALYAQP/hALYAW//NALYAYP/hALYAbP+wALYAcv+wALYAfP+wALYAyv+wALYAy/+wALYAzf+wALYAzv+wALcABf+wALcACv+wALcADP/hALcADf+wALcAQP/hALcAW//NALcAYP/hALcAbP+wALcAcv+wALcAfP+wALcAyv+wALcAy/+wALcAzf+wALcAzv+wALgABf+wALgACv+wALgADP/hALgADf+wALgAQP/hALgAW//NALgAYP/hALgAbP+wALgAcv+wALgAfP+wALgAyv+wALgAy/+wALgAzf+wALgAzv+wALoABf+wALoACv+wALoADP/hALoADf+wALoAQP/hALoAW//NALoAYP/hALoAbP+wALoAcv+wALoAfP+wALoAyv+wALoAy/+wALoAzf+wALoAzv+wAL8ACf/RAL8AD/9yAL8AEf9yAL8AEv/RAL8AJP/RAL8ARP/mAL8ARv/mAL8AR//mAL8ASP/mAL8AUv/mAL8AVP/mAL8Agv/RAL8Ag//RAL8AhP/RAL8Ahf/RAL8Ahv/RAL8Ah//RAL8AiP/RAL8Aov/mAL8Ao//mAL8ApP/mAL8Apf/mAL8Apv/mAL8Ap//mAL8AqP/mAL8Aqf/mAL8Aqv/mAL8Aq//mAL8ArP/mAL8Arf/mAL8Asv/mAL8AtP/mAL8Atf/mAL8Atv/mAL8At//mAL8AuP/mAL8Auv/mAL8AxP/mAL8AzP9yAL8Az/9yAMAABf+wAMAACv+wAMAADP/hAMAADf+wAMAAQP/hAMAAW//NAMAAYP/hAMAAbP+wAMAAcv+wAMAAfP+wAMAAyv+wAMAAy/+wAMAAzf+wAMAAzv+wAMEACf/RAMEAD/9yAMEAEf9yAMEAEv/RAMEAJP/RAMEARP/mAMEARv/mAMEAR//mAMEASP/mAMEAUv/mAMEAVP/mAMEAgv/RAMEAg//RAMEAhP/RAMEAhf/RAMEAhv/RAMEAh//RAMEAiP/RAMEAov/mAMEAo//mAMEApP/mAMEApf/mAMEApv/mAMEAp//mAMEAqP/mAMEAqf/mAMEAqv/mAMEAq//mAMEArP/mAMEArf/mAMEAsv/mAMEAtP/mAMEAtf/mAMEAtv/mAMEAt//mAMEAuP/mAMEAuv/mAMEAxP/mAMEAzP9yAMEAz/9yAMQABf+wAMQACv+wAMQADP/hAMQADf+wAMQAQP/hAMQAW//NAMQAYP/hAMQAbP+wAMQAcv+wAMQAfP+wAMQAyv+wAMQAy/+wAMQAzf+wAMQAzv+wAMgABf+tAMgACf/MAMgACv+tAMgADf+tAMgAD/9eAMgAEf9eAMgAEv/MAMgAJP/MAMgAN/9BAMgAOf+GAMgAO/+6AMgAPP9AAMgAPf/JAMgAP/+GAMgAbP+tAMgAcv+tAMgAfP+tAMgAgv/MAMgAg//MAMgAhP/MAMgAhf/MAMgAhv/MAMgAh//MAMgAiP/MAMgAn/9AAMgAyv+tAMgAy/+tAMgAzP9eAMgAzf+tAMgAzv+tAMgAz/9eAMkABf+tAMkACf/MAMkACv+tAMkADf+tAMkAD/9eAMkAEf9eAMkAEv/MAMkAJP/MAMkAN/9BAMkAOf+GAMkAO/+6AMkAPP9AAMkAPf/JAMkAP/+GAMkAbP+tAMkAcv+tAMkAfP+tAMkAgv/MAMkAg//MAMkAhP/MAMkAhf/MAMkAhv/MAMkAh//MAMkAiP/MAMkAn/9AAMkAyv+tAMkAy/+tAMkAzP9eAMkAzf+tAMkAzv+tAMkAz/9eAMoACf9VAMoAD/+kAMoAEP+tAMoAEf+kAMoAEv9VAMoAJP9VAMoAOQA2AMoAOgAwAMoAPAAtAMoAPwA2AMoARP+lAMoARv+lAMoAR/+lAMoASP+lAMoAUv+lAMoAVP+lAMoAbf+tAMoAb/+tAMoAef+tAMoAff+tAMoAgv9VAMoAg/9VAMoAhP9VAMoAhf9VAMoAhv9VAMoAh/9VAMoAiP9VAMoAnwAtAMoAov+lAMoAo/+lAMoApP+lAMoApf+lAMoApv+lAMoAp/+lAMoAqP+lAMoAqf+lAMoAqv+lAMoAq/+lAMoArP+lAMoArf+lAMoAsv+lAMoAtP+lAMoAtf+lAMoAtv+lAMoAt/+lAMoAuP+lAMoAuv+lAMoAxP+lAMoAyP+tAMoAyf+tAMoAzP+kAMoAz/+kAMoA0P+tAMoA0f+tAMoA0v+tAMsACf9VAMsAD/+kAMsAEP+tAMsAEf+kAMsAEv9VAMsAJP9VAMsAOQA2AMsAOgAwAMsAPAAtAMsAPwA2AMsARP+lAMsARv+lAMsAR/+lAMsASP+lAMsAUv+lAMsAVP+lAMsAbf+tAMsAb/+tAMsAef+tAMsAff+tAMsAgv9VAMsAg/9VAMsAhP9VAMsAhf9VAMsAhv9VAMsAh/9VAMsAiP9VAMsAnwAtAMsAov+lAMsAo/+lAMsApP+lAMsApf+lAMsApv+lAMsAp/+lAMsAqP+lAMsAqf+lAMsAqv+lAMsAq/+lAMsArP+lAMsArf+lAMsAsv+lAMsAtP+lAMsAtf+lAMsAtv+lAMsAt/+lAMsAuP+lAMsAuv+lAMsAxP+lAMsAyP+tAMsAyf+tAMsAzP+kAMsAz/+kAMsA0P+tAMsA0f+tAMsA0v+tAMwABf+IAMwACv+IAMwADf+IAMwAEP87AMwAI//JAMwAJv/JAMwAKv/JAMwAMv/JAMwANP/JAMwAN/81AMwAOf8sAMwAOv98AMwAPP87AMwAP/8sAMwAWf9yAMwAWv+4AMwAXP98AMwAa//JAMwAbP+IAMwAbf87AMwAb/87AMwAcP/JAMwAcv+IAMwAef87AMwAfP+IAMwAff87AMwAif/JAMwAlP/JAMwAlf/JAMwAlv/JAMwAl//JAMwAmP/JAMwAmv/JAMwAn/87AMwAv/9yAMwAwf9yAMwAw//JAMwAyP87AMwAyf87AMwAyv+IAMwAy/+IAMwAzf+IAMwAzv+IAMwA0P87AMwA0f87AMwA0v87AM0ACf9VAM0AD/+kAM0AEP+tAM0AEf+kAM0AEv9VAM0AJP9VAM0AOQA2AM0AOgAwAM0APAAtAM0APwA2AM0ARP+lAM0ARv+lAM0AR/+lAM0ASP+lAM0AUv+lAM0AVP+lAM0Abf+tAM0Ab/+tAM0Aef+tAM0Aff+tAM0Agv9VAM0Ag/9VAM0AhP9VAM0Ahf9VAM0Ahv9VAM0Ah/9VAM0AiP9VAM0AnwAtAM0Aov+lAM0Ao/+lAM0ApP+lAM0Apf+lAM0Apv+lAM0Ap/+lAM0AqP+lAM0Aqf+lAM0Aqv+lAM0Aq/+lAM0ArP+lAM0Arf+lAM0Asv+lAM0AtP+lAM0Atf+lAM0Atv+lAM0At/+lAM0AuP+lAM0Auv+lAM0AxP+lAM0AyP+tAM0Ayf+tAM0AzP+kAM0Az/+kAM0A0P+tAM0A0f+tAM0A0v+tAM4ACf9VAM4AD/+kAM4AEP+tAM4AEf+kAM4AEv9VAM4AJP9VAM4AOQA2AM4AOgAwAM4APAAtAM4APwA2AM4ARP+lAM4ARv+lAM4AR/+lAM4ASP+lAM4AUv+lAM4AVP+lAM4Abf+tAM4Ab/+tAM4Aef+tAM4Aff+tAM4Agv9VAM4Ag/9VAM4AhP9VAM4Ahf9VAM4Ahv9VAM4Ah/9VAM4AiP9VAM4AnwAtAM4Aov+lAM4Ao/+lAM4ApP+lAM4Apf+lAM4Apv+lAM4Ap/+lAM4AqP+lAM4Aqf+lAM4Aqv+lAM4Aq/+lAM4ArP+lAM4Arf+lAM4Asv+lAM4AtP+lAM4Atf+lAM4Atv+lAM4At/+lAM4AuP+lAM4Auv+lAM4AxP+lAM4AyP+tAM4Ayf+tAM4AzP+kAM4Az/+kAM4A0P+tAM4A0f+tAM4A0v+tAM8ABf+IAM8ACv+IAM8ADf+IAM8AEP87AM8AI//JAM8AJv/JAM8AKv/JAM8AMv/JAM8ANP/JAM8AN/81AM8AOf8sAM8AOv98AM8APP87AM8AP/8sAM8AWf9yAM8AWv+4AM8AXP98AM8Aa//JAM8AbP+IAM8Abf87AM8Ab/87AM8AcP/JAM8Acv+IAM8Aef87AM8AfP+IAM8Aff87AM8Aif/JAM8AlP/JAM8Alf/JAM8Alv/JAM8Al//JAM8AmP/JAM8Amv/JAM8An/87AM8Av/9yAM8Awf9yAM8Aw//JAM8AyP87AM8Ayf87AM8Ayv+IAM8Ay/+IAM8Azf+IAM8Azv+IAM8A0P87AM8A0f87AM8A0v87ANAABf+tANAACf/MANAACv+tANAADf+tANAAD/9eANAAEf9eANAAEv/MANAAJP/MANAAN/9BANAAOf+GANAAO/+6ANAAPP9AANAAPf/JANAAP/+GANAAbP+tANAAcv+tANAAfP+tANAAgv/MANAAg//MANAAhP/MANAAhf/MANAAhv/MANAAh//MANAAiP/MANAAn/9AANAAyv+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) 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e,i;this.previousFilter||t.clientX===this.lastMousePosition.x&&t.clientY===this.lastMousePosition.y||(this.lastMousePosition={x:t.clientX,y:t.clientY},e=V(t.target).closest(".ui-menu-item"),i=V(t.currentTarget),e[0]===i[0]&&(i.is(".ui-state-active")||(this._removeClass(i.siblings().children(".ui-state-active"),null,"ui-state-active"),this.focus(t,i))))},_destroy:function(){var t=this.element.find(".ui-menu-item").removeAttr("role aria-disabled").children(".ui-menu-item-wrapper").removeUniqueId().removeAttr("tabIndex role aria-haspopup");this.element.removeAttr("aria-activedescendant").find(".ui-menu").addBack().removeAttr("role aria-labelledby aria-expanded aria-hidden aria-disabled tabIndex").removeUniqueId().show(),t.children().each(function(){var t=V(this);t.data("ui-menu-submenu-caret")&&t.remove()})},_keydown:function(t){var e,i,s,n=!0;switch(t.keyCode){case V.ui.keyCode.PAGE_UP:this.previousPage(t);break;case V.ui.keyCode.PAGE_DOWN:this.nextPage(t);break;case V.ui.keyCode.HOME:this._move("first","first",t);break;case V.ui.keyCode.END:this._move("last","last",t);break;case V.ui.keyCode.UP:this.previous(t);break;case V.ui.keyCode.DOWN:this.next(t);break;case V.ui.keyCode.LEFT:this.collapse(t);break;case V.ui.keyCode.RIGHT:this.active&&!this.active.is(".ui-state-disabled")&&this.expand(t);break;case V.ui.keyCode.ENTER:case V.ui.keyCode.SPACE:this._activate(t);break;case V.ui.keyCode.ESCAPE:this.collapse(t);break;default:e=this.previousFilter||"",s=n=!1,i=96<=t.keyCode&&t.keyCode<=105?(t.keyCode-96).toString():String.fromCharCode(t.keyCode),clearTimeout(this.filterTimer),i===e?s=!0:i=e+i,e=this._filterMenuItems(i),(e=s&&-1!==e.index(this.active.next())?this.active.nextAll(".ui-menu-item"):e).length||(i=String.fromCharCode(t.keyCode),e=this._filterMenuItems(i)),e.length?(this.focus(t,e),this.previousFilter=i,this.filterTimer=this._delay(function(){delete this.previousFilter},1e3)):delete this.previousFilter}n&&t.preventDefault()},_activate:function(t){this.active&&!this.active.is(".ui-state-disabled")&&(this.active.children("[aria-haspopup='true']").length?this.expand(t):this.select(t))},refresh:function(){var t,e,s=this,n=this.options.icons.submenu,i=this.element.find(this.options.menus);this._toggleClass("ui-menu-icons",null,!!this.element.find(".ui-icon").length),e=i.filter(":not(.ui-menu)").hide().attr({role:this.options.role,"aria-hidden":"true","aria-expanded":"false"}).each(function(){var t=V(this),e=t.prev(),i=V("<span>").data("ui-menu-submenu-caret",!0);s._addClass(i,"ui-menu-icon","ui-icon "+n),e.attr("aria-haspopup","true").prepend(i),t.attr("aria-labelledby",e.attr("id"))}),this._addClass(e,"ui-menu","ui-widget ui-widget-content ui-front"),(t=i.add(this.element).find(this.options.items)).not(".ui-menu-item").each(function(){var t=V(this);s._isDivider(t)&&s._addClass(t,"ui-menu-divider","ui-widget-content")}),i=(e=t.not(".ui-menu-item, 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i;this.blur(t,t&&"focus"===t.type),this._scrollIntoView(e),this.active=e.first(),i=this.active.children(".ui-menu-item-wrapper"),this._addClass(i,null,"ui-state-active"),this.options.role&&this.element.attr("aria-activedescendant",i.attr("id")),i=this.active.parent().closest(".ui-menu-item").children(".ui-menu-item-wrapper"),this._addClass(i,null,"ui-state-active"),t&&"keydown"===t.type?this._close():this.timer=this._delay(function(){this._close()},this.delay),(i=e.children(".ui-menu")).length&&t&&/^mouse/.test(t.type)&&this._startOpening(i),this.activeMenu=e.parent(),this._trigger("focus",t,{item:e})},_scrollIntoView:function(t){var e,i,s;this._hasScroll()&&(i=parseFloat(V.css(this.activeMenu[0],"borderTopWidth"))||0,s=parseFloat(V.css(this.activeMenu[0],"paddingTop"))||0,e=t.offset().top-this.activeMenu.offset().top-i-s,i=this.activeMenu.scrollTop(),s=this.activeMenu.height(),t=t.outerHeight(),e<0?this.activeMenu.scrollTop(i+e):s<e+t&&this.activeMenu.scrollTop(i+e-s+t))},blur:function(t,e){e||clearTimeout(this.timer),this.active&&(this._removeClass(this.active.children(".ui-menu-item-wrapper"),null,"ui-state-active"),this._trigger("blur",t,{item:this.active}),this.active=null)},_startOpening:function(t){clearTimeout(this.timer),"true"===t.attr("aria-hidden")&&(this.timer=this._delay(function(){this._close(),this._open(t)},this.delay))},_open:function(t){var e=V.extend({of:this.active},this.options.position);clearTimeout(this.timer),this.element.find(".ui-menu").not(t.parents(".ui-menu")).hide().attr("aria-hidden","true"),t.show().removeAttr("aria-hidden").attr("aria-expanded","true").position(e)},collapseAll:function(e,i){clearTimeout(this.timer),this.timer=this._delay(function(){var t=i?this.element:V(e&&e.target).closest(this.element.find(".ui-menu"));t.length||(t=this.element),this._close(t),this.blur(e),this._removeClass(t.find(".ui-state-active"),null,"ui-state-active"),this.activeMenu=t},i?0:this.delay)},_close:function(t){(t=t||(this.active?this.active.parent():this.element)).find(".ui-menu").hide().attr("aria-hidden","true").attr("aria-expanded","false")},_closeOnDocumentClick:function(t){return!V(t.target).closest(".ui-menu").length},_isDivider:function(t){return!/[^\-\u2014\u2013\s]/.test(t.text())},collapse:function(t){var e=this.active&&this.active.parent().closest(".ui-menu-item",this.element);e&&e.length&&(this._close(),this.focus(t,e))},expand:function(t){var e=this.active&&this._menuItems(this.active.children(".ui-menu")).first();e&&e.length&&(this._open(e.parent()),this._delay(function(){this.focus(t,e)}))},next:function(t){this._move("next","first",t)},previous:function(t){this._move("prev","last",t)},isFirstItem:function(){return this.active&&!this.active.prevAll(".ui-menu-item").length},isLastItem:function(){return this.active&&!this.active.nextAll(".ui-menu-item").length},_menuItems:function(t){return(t||this.element).find(this.options.items).filter(".ui-menu-item")},_move:function(t,e,i){var s;(s=this.active?"first"===t||"last"===t?this.active["first"===t?"prevAll":"nextAll"](".ui-menu-item").last():this.active[t+"All"](".ui-menu-item").first():s)&&s.length&&this.active||(s=this._menuItems(this.activeMenu)[e]()),this.focus(i,s)},nextPage:function(t){var e,i,s;this.active?this.isLastItem()||(this._hasScroll()?(i=this.active.offset().top,s=this.element.innerHeight(),0===V.fn.jquery.indexOf("3.2.")&&(s+=this.element[0].offsetHeight-this.element.outerHeight()),this.active.nextAll(".ui-menu-item").each(function(){return(e=V(this)).offset().top-i-s<0}),this.focus(t,e)):this.focus(t,this._menuItems(this.activeMenu)[this.active?"last":"first"]())):this.next(t)},previousPage:function(t){var e,i,s;this.active?this.isFirstItem()||(this._hasScroll()?(i=this.active.offset().top,s=this.element.innerHeight(),0===V.fn.jquery.indexOf("3.2.")&&(s+=this.element[0].offsetHeight-this.element.outerHeight()),this.active.prevAll(".ui-menu-item").each(function(){return 0<(e=V(this)).offset().top-i+s}),this.focus(t,e)):this.focus(t,this._menuItems(this.activeMenu).first())):this.next(t)},_hasScroll:function(){return this.element.outerHeight()<this.element.prop("scrollHeight")},select:function(t){this.active=this.active||V(t.target).closest(".ui-menu-item");var e={item:this.active};this.active.has(".ui-menu").length||this.collapseAll(t,!0),this._trigger("select",t,e)},_filterMenuItems:function(t){var t=t.replace(/[\-\[\]{}()*+?.,\\\^$|#\s]/g,"\\$&"),e=new RegExp("^"+t,"i");return this.activeMenu.find(this.options.items).filter(".ui-menu-item").filter(function(){return e.test(String.prototype.trim.call(V(this).children(".ui-menu-item-wrapper").text()))})}});V.widget("ui.autocomplete",{version:"1.13.2",defaultElement:"<input>",options:{appendTo:null,autoFocus:!1,delay:300,minLength:1,position:{my:"left top",at:"left bottom",collision:"none"},source:null,change:null,close:null,focus:null,open:null,response:null,search:null,select:null},requestIndex:0,pending:0,liveRegionTimer:null,_create:function(){var i,s,n,t=this.element[0].nodeName.toLowerCase(),e="textarea"===t,t="input"===t;this.isMultiLine=e||!t&&this._isContentEditable(this.element),this.valueMethod=this.element[e||t?"val":"text"],this.isNewMenu=!0,this._addClass("ui-autocomplete-input"),this.element.attr("autocomplete","off"),this._on(this.element,{keydown:function(t){if(this.element.prop("readOnly"))s=n=i=!0;else{s=n=i=!1;var e=V.ui.keyCode;switch(t.keyCode){case e.PAGE_UP:i=!0,this._move("previousPage",t);break;case e.PAGE_DOWN:i=!0,this._move("nextPage",t);break;case e.UP:i=!0,this._keyEvent("previous",t);break;case e.DOWN:i=!0,this._keyEvent("next",t);break;case e.ENTER:this.menu.active&&(i=!0,t.preventDefault(),this.menu.select(t));break;case e.TAB:this.menu.active&&this.menu.select(t);break;case e.ESCAPE:this.menu.element.is(":visible")&&(this.isMultiLine||this._value(this.term),this.close(t),t.preventDefault());break;default:s=!0,this._searchTimeout(t)}}},keypress:function(t){if(i)return i=!1,void(this.isMultiLine&&!this.menu.element.is(":visible")||t.preventDefault());if(!s){var e=V.ui.keyCode;switch(t.keyCode){case e.PAGE_UP:this._move("previousPage",t);break;case e.PAGE_DOWN:this._move("nextPage",t);break;case e.UP:this._keyEvent("previous",t);break;case e.DOWN:this._keyEvent("next",t)}}},input:function(t){if(n)return n=!1,void t.preventDefault();this._searchTimeout(t)},focus:function(){this.selectedItem=null,this.previous=this._value()},blur:function(t){clearTimeout(this.searching),this.close(t),this._change(t)}}),this._initSource(),this.menu=V("<ul>").appendTo(this._appendTo()).menu({role:null}).hide().attr({unselectable:"on"}).menu("instance"),this._addClass(this.menu.element,"ui-autocomplete","ui-front"),this._on(this.menu.element,{mousedown:function(t){t.preventDefault()},menufocus:function(t,e){var i,s;if(this.isNewMenu&&(this.isNewMenu=!1,t.originalEvent&&/^mouse/.test(t.originalEvent.type)))return this.menu.blur(),void this.document.one("mousemove",function(){V(t.target).trigger(t.originalEvent)});s=e.item.data("ui-autocomplete-item"),!1!==this._trigger("focus",t,{item:s})&&t.originalEvent&&/^key/.test(t.originalEvent.type)&&this._value(s.value),(i=e.item.attr("aria-label")||s.value)&&String.prototype.trim.call(i).length&&(clearTimeout(this.liveRegionTimer),this.liveRegionTimer=this._delay(function(){this.liveRegion.html(V("<div>").text(i))},100))},menuselect:function(t,e){var i=e.item.data("ui-autocomplete-item"),s=this.previous;this.element[0]!==V.ui.safeActiveElement(this.document[0])&&(this.element.trigger("focus"),this.previous=s,this._delay(function(){this.previous=s,this.selectedItem=i})),!1!==this._trigger("select",t,{item:i})&&this._value(i.value),this.term=this._value(),this.close(t),this.selectedItem=i}}),this.liveRegion=V("<div>",{role:"status","aria-live":"assertive","aria-relevant":"additions"}).appendTo(this.document[0].body),this._addClass(this.liveRegion,null,"ui-helper-hidden-accessible"),this._on(this.window,{beforeunload:function(){this.element.removeAttr("autocomplete")}})},_destroy:function(){clearTimeout(this.searching),this.element.removeAttr("autocomplete"),this.menu.element.remove(),this.liveRegion.remove()},_setOption:function(t,e){this._super(t,e),"source"===t&&this._initSource(),"appendTo"===t&&this.menu.element.appendTo(this._appendTo()),"disabled"===t&&e&&this.xhr&&this.xhr.abort()},_isEventTargetInWidget:function(t){var e=this.menu.element[0];return t.target===this.element[0]||t.target===e||V.contains(e,t.target)},_closeOnClickOutside:function(t){this._isEventTargetInWidget(t)||this.close()},_appendTo:function(){var t=this.options.appendTo;return t=!(t=!(t=t&&(t.jquery||t.nodeType?V(t):this.document.find(t).eq(0)))||!t[0]?this.element.closest(".ui-front, dialog"):t).length?this.document[0].body:t},_initSource:function(){var i,s,n=this;Array.isArray(this.options.source)?(i=this.options.source,this.source=function(t,e){e(V.ui.autocomplete.filter(i,t.term))}):"string"==typeof this.options.source?(s=this.options.source,this.source=function(t,e){n.xhr&&n.xhr.abort(),n.xhr=V.ajax({url:s,data:t,dataType:"json",success:function(t){e(t)},error:function(){e([])}})}):this.source=this.options.source},_searchTimeout:function(s){clearTimeout(this.searching),this.searching=this._delay(function(){var t=this.term===this._value(),e=this.menu.element.is(":visible"),i=s.altKey||s.ctrlKey||s.metaKey||s.shiftKey;t&&(e||i)||(this.selectedItem=null,this.search(null,s))},this.options.delay)},search:function(t,e){return t=null!=t?t:this._value(),this.term=this._value(),t.length<this.options.minLength?this.close(e):!1!==this._trigger("search",e)?this._search(t):void 0},_search:function(t){this.pending++,this._addClass("ui-autocomplete-loading"),this.cancelSearch=!1,this.source({term:t},this._response())},_response:function(){var e=++this.requestIndex;return function(t){e===this.requestIndex&&this.__response(t),this.pending--,this.pending||this._removeClass("ui-autocomplete-loading")}.bind(this)},__response:function(t){t=t&&this._normalize(t),this._trigger("response",null,{content:t}),!this.options.disabled&&t&&t.length&&!this.cancelSearch?(this._suggest(t),this._trigger("open")):this._close()},close:function(t){this.cancelSearch=!0,this._close(t)},_close:function(t){this._off(this.document,"mousedown"),this.menu.element.is(":visible")&&(this.menu.element.hide(),this.menu.blur(),this.isNewMenu=!0,this._trigger("close",t))},_change:function(t){this.previous!==this._value()&&this._trigger("change",t,{item:this.selectedItem})},_normalize:function(t){return t.length&&t[0].label&&t[0].value?t:V.map(t,function(t){return"string"==typeof t?{label:t,value:t}:V.extend({},t,{label:t.label||t.value,value:t.value||t.label})})},_suggest:function(t){var e=this.menu.element.empty();this._renderMenu(e,t),this.isNewMenu=!0,this.menu.refresh(),e.show(),this._resizeMenu(),e.position(V.extend({of:this.element},this.options.position)),this.options.autoFocus&&this.menu.next(),this._on(this.document,{mousedown:"_closeOnClickOutside"})},_resizeMenu:function(){var t=this.menu.element;t.outerWidth(Math.max(t.width("").outerWidth()+1,this.element.outerWidth()))},_renderMenu:function(i,t){var s=this;V.each(t,function(t,e){s._renderItemData(i,e)})},_renderItemData:function(t,e){return this._renderItem(t,e).data("ui-autocomplete-item",e)},_renderItem:function(t,e){return V("<li>").append(V("<div>").text(e.label)).appendTo(t)},_move:function(t,e){if(this.menu.element.is(":visible"))return this.menu.isFirstItem()&&/^previous/.test(t)||this.menu.isLastItem()&&/^next/.test(t)?(this.isMultiLine||this._value(this.term),void this.menu.blur()):void this.menu[t](e);this.search(null,e)},widget:function(){return this.menu.element},_value:function(){return this.valueMethod.apply(this.element,arguments)},_keyEvent:function(t,e){this.isMultiLine&&!this.menu.element.is(":visible")||(this._move(t,e),e.preventDefault())},_isContentEditable:function(t){if(!t.length)return!1;var e=t.prop("contentEditable");return"inherit"===e?this._isContentEditable(t.parent()):"true"===e}}),V.extend(V.ui.autocomplete,{escapeRegex:function(t){return t.replace(/[\-\[\]{}()*+?.,\\\^$|#\s]/g,"\\$&")},filter:function(t,e){var i=new RegExp(V.ui.autocomplete.escapeRegex(e),"i");return V.grep(t,function(t){return i.test(t.label||t.value||t)})}}),V.widget("ui.autocomplete",V.ui.autocomplete,{options:{messages:{noResults:"No search results.",results:function(t){return t+(1<t?" results are":" result is")+" available, use up and down arrow keys to navigate."}}},__response:function(t){var e;this._superApply(arguments),this.options.disabled||this.cancelSearch||(e=t&&t.length?this.options.messages.results(t.length):this.options.messages.noResults,clearTimeout(this.liveRegionTimer),this.liveRegionTimer=this._delay(function(){this.liveRegion.html(V("<div>").text(e))},100))}});V.ui.autocomplete;var tt=/ui-corner-([a-z]){2,6}/g;V.widget("ui.controlgroup",{version:"1.13.2",defaultElement:"<div>",options:{direction:"horizontal",disabled:null,onlyVisible:!0,items:{button:"input[type=button], input[type=submit], input[type=reset], button, a",controlgroupLabel:".ui-controlgroup-label",checkboxradio:"input[type='checkbox'], input[type='radio']",selectmenu:"select",spinner:".ui-spinner-input"}},_create:function(){this._enhance()},_enhance:function(){this.element.attr("role","toolbar"),this.refresh()},_destroy:function(){this._callChildMethod("destroy"),this.childWidgets.removeData("ui-controlgroup-data"),this.element.removeAttr("role"),this.options.items.controlgroupLabel&&this.element.find(this.options.items.controlgroupLabel).find(".ui-controlgroup-label-contents").contents().unwrap()},_initWidgets:function(){var o=this,a=[];V.each(this.options.items,function(s,t){var e,n={};if(t)return"controlgroupLabel"===s?((e=o.element.find(t)).each(function(){var t=V(this);t.children(".ui-controlgroup-label-contents").length||t.contents().wrapAll("<span class='ui-controlgroup-label-contents'></span>")}),o._addClass(e,null,"ui-widget ui-widget-content ui-state-default"),void(a=a.concat(e.get()))):void(V.fn[s]&&(n=o["_"+s+"Options"]?o["_"+s+"Options"]("middle"):{classes:{}},o.element.find(t).each(function(){var t=V(this),e=t[s]("instance"),i=V.widget.extend({},n);"button"===s&&t.parent(".ui-spinner").length||((e=e||t[s]()[s]("instance"))&&(i.classes=o._resolveClassesValues(i.classes,e)),t[s](i),i=t[s]("widget"),V.data(i[0],"ui-controlgroup-data",e||t[s]("instance")),a.push(i[0]))})))}),this.childWidgets=V(V.uniqueSort(a)),this._addClass(this.childWidgets,"ui-controlgroup-item")},_callChildMethod:function(e){this.childWidgets.each(function(){var t=V(this).data("ui-controlgroup-data");t&&t[e]&&t[e]()})},_updateCornerClass:function(t,e){e=this._buildSimpleOptions(e,"label").classes.label;this._removeClass(t,null,"ui-corner-top ui-corner-bottom ui-corner-left ui-corner-right ui-corner-all"),this._addClass(t,null,e)},_buildSimpleOptions:function(t,e){var i="vertical"===this.options.direction,s={classes:{}};return s.classes[e]={middle:"",first:"ui-corner-"+(i?"top":"left"),last:"ui-corner-"+(i?"bottom":"right"),only:"ui-corner-all"}[t],s},_spinnerOptions:function(t){t=this._buildSimpleOptions(t,"ui-spinner");return t.classes["ui-spinner-up"]="",t.classes["ui-spinner-down"]="",t},_buttonOptions:function(t){return this._buildSimpleOptions(t,"ui-button")},_checkboxradioOptions:function(t){return this._buildSimpleOptions(t,"ui-checkboxradio-label")},_selectmenuOptions:function(t){var e="vertical"===this.options.direction;return{width:e&&"auto",classes:{middle:{"ui-selectmenu-button-open":"","ui-selectmenu-button-closed":""},first:{"ui-selectmenu-button-open":"ui-corner-"+(e?"top":"tl"),"ui-selectmenu-button-closed":"ui-corner-"+(e?"top":"left")},last:{"ui-selectmenu-button-open":e?"":"ui-corner-tr","ui-selectmenu-button-closed":"ui-corner-"+(e?"bottom":"right")},only:{"ui-selectmenu-button-open":"ui-corner-top","ui-selectmenu-button-closed":"ui-corner-all"}}[t]}},_resolveClassesValues:function(i,s){var n={};return V.each(i,function(t){var e=s.options.classes[t]||"",e=String.prototype.trim.call(e.replace(tt,""));n[t]=(e+" "+i[t]).replace(/\s+/g," ")}),n},_setOption:function(t,e){"direction"===t&&this._removeClass("ui-controlgroup-"+this.options.direction),this._super(t,e),"disabled"!==t?this.refresh():this._callChildMethod(e?"disable":"enable")},refresh:function(){var n,o=this;this._addClass("ui-controlgroup ui-controlgroup-"+this.options.direction),"horizontal"===this.options.direction&&this._addClass(null,"ui-helper-clearfix"),this._initWidgets(),n=this.childWidgets,(n=this.options.onlyVisible?n.filter(":visible"):n).length&&(V.each(["first","last"],function(t,e){var i,s=n[e]().data("ui-controlgroup-data");s&&o["_"+s.widgetName+"Options"]?((i=o["_"+s.widgetName+"Options"](1===n.length?"only":e)).classes=o._resolveClassesValues(i.classes,s),s.element[s.widgetName](i)):o._updateCornerClass(n[e](),e)}),this._callChildMethod("refresh"))}});V.widget("ui.checkboxradio",[V.ui.formResetMixin,{version:"1.13.2",options:{disabled:null,label:null,icon:!0,classes:{"ui-checkboxradio-label":"ui-corner-all","ui-checkboxradio-icon":"ui-corner-all"}},_getCreateOptions:function(){var t,e=this._super()||{};return this._readType(),t=this.element.labels(),this.label=V(t[t.length-1]),this.label.length||V.error("No label found for checkboxradio widget"),this.originalLabel="",(t=this.label.contents().not(this.element[0])).length&&(this.originalLabel+=t.clone().wrapAll("<div></div>").parent().html()),this.originalLabel&&(e.label=this.originalLabel),null!=(t=this.element[0].disabled)&&(e.disabled=t),e},_create:function(){var t=this.element[0].checked;this._bindFormResetHandler(),null==this.options.disabled&&(this.options.disabled=this.element[0].disabled),this._setOption("disabled",this.options.disabled),this._addClass("ui-checkboxradio","ui-helper-hidden-accessible"),this._addClass(this.label,"ui-checkboxradio-label","ui-button ui-widget"),"radio"===this.type&&this._addClass(this.label,"ui-checkboxradio-radio-label"),this.options.label&&this.options.label!==this.originalLabel?this._updateLabel():this.originalLabel&&(this.options.label=this.originalLabel),this._enhance(),t&&this._addClass(this.label,"ui-checkboxradio-checked","ui-state-active"),this._on({change:"_toggleClasses",focus:function(){this._addClass(this.label,null,"ui-state-focus ui-visual-focus")},blur:function(){this._removeClass(this.label,null,"ui-state-focus ui-visual-focus")}})},_readType:function(){var t=this.element[0].nodeName.toLowerCase();this.type=this.element[0].type,"input"===t&&/radio|checkbox/.test(this.type)||V.error("Can't create checkboxradio on element.nodeName="+t+" and element.type="+this.type)},_enhance:function(){this._updateIcon(this.element[0].checked)},widget:function(){return this.label},_getRadioGroup:function(){var t=this.element[0].name,e="input[name='"+V.escapeSelector(t)+"']";return t?(this.form.length?V(this.form[0].elements).filter(e):V(e).filter(function(){return 0===V(this)._form().length})).not(this.element):V([])},_toggleClasses:function(){var t=this.element[0].checked;this._toggleClass(this.label,"ui-checkboxradio-checked","ui-state-active",t),this.options.icon&&"checkbox"===this.type&&this._toggleClass(this.icon,null,"ui-icon-check ui-state-checked",t)._toggleClass(this.icon,null,"ui-icon-blank",!t),"radio"===this.type&&this._getRadioGroup().each(function(){var t=V(this).checkboxradio("instance");t&&t._removeClass(t.label,"ui-checkboxradio-checked","ui-state-active")})},_destroy:function(){this._unbindFormResetHandler(),this.icon&&(this.icon.remove(),this.iconSpace.remove())},_setOption:function(t,e){if("label"!==t||e){if(this._super(t,e),"disabled"===t)return this._toggleClass(this.label,null,"ui-state-disabled",e),void(this.element[0].disabled=e);this.refresh()}},_updateIcon:function(t){var e="ui-icon ui-icon-background ";this.options.icon?(this.icon||(this.icon=V("<span>"),this.iconSpace=V("<span> </span>"),this._addClass(this.iconSpace,"ui-checkboxradio-icon-space")),"checkbox"===this.type?(e+=t?"ui-icon-check ui-state-checked":"ui-icon-blank",this._removeClass(this.icon,null,t?"ui-icon-blank":"ui-icon-check")):e+="ui-icon-blank",this._addClass(this.icon,"ui-checkboxradio-icon",e),t||this._removeClass(this.icon,null,"ui-icon-check ui-state-checked"),this.icon.prependTo(this.label).after(this.iconSpace)):void 0!==this.icon&&(this.icon.remove(),this.iconSpace.remove(),delete this.icon)},_updateLabel:function(){var t=this.label.contents().not(this.element[0]);this.icon&&(t=t.not(this.icon[0])),(t=this.iconSpace?t.not(this.iconSpace[0]):t).remove(),this.label.append(this.options.label)},refresh:function(){var t=this.element[0].checked,e=this.element[0].disabled;this._updateIcon(t),this._toggleClass(this.label,"ui-checkboxradio-checked","ui-state-active",t),null!==this.options.label&&this._updateLabel(),e!==this.options.disabled&&this._setOptions({disabled:e})}}]);var et;V.ui.checkboxradio;V.widget("ui.button",{version:"1.13.2",defaultElement:"<button>",options:{classes:{"ui-button":"ui-corner-all"},disabled:null,icon:null,iconPosition:"beginning",label:null,showLabel:!0},_getCreateOptions:function(){var t,e=this._super()||{};return this.isInput=this.element.is("input"),null!=(t=this.element[0].disabled)&&(e.disabled=t),this.originalLabel=this.isInput?this.element.val():this.element.html(),this.originalLabel&&(e.label=this.originalLabel),e},_create:function(){!this.option.showLabel&!this.options.icon&&(this.options.showLabel=!0),null==this.options.disabled&&(this.options.disabled=this.element[0].disabled||!1),this.hasTitle=!!this.element.attr("title"),this.options.label&&this.options.label!==this.originalLabel&&(this.isInput?this.element.val(this.options.label):this.element.html(this.options.label)),this._addClass("ui-button","ui-widget"),this._setOption("disabled",this.options.disabled),this._enhance(),this.element.is("a")&&this._on({keyup:function(t){t.keyCode===V.ui.keyCode.SPACE&&(t.preventDefault(),this.element[0].click?this.element[0].click():this.element.trigger("click"))}})},_enhance:function(){this.element.is("button")||this.element.attr("role","button"),this.options.icon&&(this._updateIcon("icon",this.options.icon),this._updateTooltip())},_updateTooltip:function(){this.title=this.element.attr("title"),this.options.showLabel||this.title||this.element.attr("title",this.options.label)},_updateIcon:function(t,e){var i="iconPosition"!==t,s=i?this.options.iconPosition:e,t="top"===s||"bottom"===s;this.icon?i&&this._removeClass(this.icon,null,this.options.icon):(this.icon=V("<span>"),this._addClass(this.icon,"ui-button-icon","ui-icon"),this.options.showLabel||this._addClass("ui-button-icon-only")),i&&this._addClass(this.icon,null,e),this._attachIcon(s),t?(this._addClass(this.icon,null,"ui-widget-icon-block"),this.iconSpace&&this.iconSpace.remove()):(this.iconSpace||(this.iconSpace=V("<span> </span>"),this._addClass(this.iconSpace,"ui-button-icon-space")),this._removeClass(this.icon,null,"ui-wiget-icon-block"),this._attachIconSpace(s))},_destroy:function(){this.element.removeAttr("role"),this.icon&&this.icon.remove(),this.iconSpace&&this.iconSpace.remove(),this.hasTitle||this.element.removeAttr("title")},_attachIconSpace:function(t){this.icon[/^(?:end|bottom)/.test(t)?"before":"after"](this.iconSpace)},_attachIcon:function(t){this.element[/^(?:end|bottom)/.test(t)?"append":"prepend"](this.icon)},_setOptions:function(t){var e=(void 0===t.showLabel?this.options:t).showLabel,i=(void 0===t.icon?this.options:t).icon;e||i||(t.showLabel=!0),this._super(t)},_setOption:function(t,e){"icon"===t&&(e?this._updateIcon(t,e):this.icon&&(this.icon.remove(),this.iconSpace&&this.iconSpace.remove())),"iconPosition"===t&&this._updateIcon(t,e),"showLabel"===t&&(this._toggleClass("ui-button-icon-only",null,!e),this._updateTooltip()),"label"===t&&(this.isInput?this.element.val(e):(this.element.html(e),this.icon&&(this._attachIcon(this.options.iconPosition),this._attachIconSpace(this.options.iconPosition)))),this._super(t,e),"disabled"===t&&(this._toggleClass(null,"ui-state-disabled",e),(this.element[0].disabled=e)&&this.element.trigger("blur"))},refresh:function(){var t=this.element.is("input, button")?this.element[0].disabled:this.element.hasClass("ui-button-disabled");t!==this.options.disabled&&this._setOptions({disabled:t}),this._updateTooltip()}}),!1!==V.uiBackCompat&&(V.widget("ui.button",V.ui.button,{options:{text:!0,icons:{primary:null,secondary:null}},_create:function(){this.options.showLabel&&!this.options.text&&(this.options.showLabel=this.options.text),!this.options.showLabel&&this.options.text&&(this.options.text=this.options.showLabel),this.options.icon||!this.options.icons.primary&&!this.options.icons.secondary?this.options.icon&&(this.options.icons.primary=this.options.icon):this.options.icons.primary?this.options.icon=this.options.icons.primary:(this.options.icon=this.options.icons.secondary,this.options.iconPosition="end"),this._super()},_setOption:function(t,e){"text"!==t?("showLabel"===t&&(this.options.text=e),"icon"===t&&(this.options.icons.primary=e),"icons"===t&&(e.primary?(this._super("icon",e.primary),this._super("iconPosition","beginning")):e.secondary&&(this._super("icon",e.secondary),this._super("iconPosition","end"))),this._superApply(arguments)):this._super("showLabel",e)}}),V.fn.button=(et=V.fn.button,function(i){var t="string"==typeof i,s=Array.prototype.slice.call(arguments,1),n=this;return t?this.length||"instance"!==i?this.each(function(){var t=V(this).attr("type"),e=V.data(this,"ui-"+("checkbox"!==t&&"radio"!==t?"button":"checkboxradio"));return"instance"===i?(n=e,!1):e?"function"!=typeof e[i]||"_"===i.charAt(0)?V.error("no such method '"+i+"' for button widget instance"):(t=e[i].apply(e,s))!==e&&void 0!==t?(n=t&&t.jquery?n.pushStack(t.get()):t,!1):void 0:V.error("cannot call methods on button prior to initialization; attempted to call method '"+i+"'")}):n=void 0:(s.length&&(i=V.widget.extend.apply(null,[i].concat(s))),this.each(function(){var t=V(this).attr("type"),e="checkbox"!==t&&"radio"!==t?"button":"checkboxradio",t=V.data(this,"ui-"+e);t?(t.option(i||{}),t._init&&t._init()):"button"!=e?V(this).checkboxradio(V.extend({icon:!1},i)):et.call(V(this),i)})),n}),V.fn.buttonset=function(){return V.ui.controlgroup||V.error("Controlgroup widget missing"),"option"===arguments[0]&&"items"===arguments[1]&&arguments[2]?this.controlgroup.apply(this,[arguments[0],"items.button",arguments[2]]):"option"===arguments[0]&&"items"===arguments[1]?this.controlgroup.apply(this,[arguments[0],"items.button"]):("object"==typeof arguments[0]&&arguments[0].items&&(arguments[0].items={button:arguments[0].items}),this.controlgroup.apply(this,arguments))});var it;V.ui.button;function st(){this._curInst=null,this._keyEvent=!1,this._disabledInputs=[],this._datepickerShowing=!1,this._inDialog=!1,this._mainDivId="ui-datepicker-div",this._inlineClass="ui-datepicker-inline",this._appendClass="ui-datepicker-append",this._triggerClass="ui-datepicker-trigger",this._dialogClass="ui-datepicker-dialog",this._disableClass="ui-datepicker-disabled",this._unselectableClass="ui-datepicker-unselectable",this._currentClass="ui-datepicker-current-day",this._dayOverClass="ui-datepicker-days-cell-over",this.regional=[],this.regional[""]={closeText:"Done",prevText:"Prev",nextText:"Next",currentText:"Today",monthNames:["January","February","March","April","May","June","July","August","September","October","November","December"],monthNamesShort:["Jan","Feb","Mar","Apr","May","Jun","Jul","Aug","Sep","Oct","Nov","Dec"],dayNames:["Sunday","Monday","Tuesday","Wednesday","Thursday","Friday","Saturday"],dayNamesShort:["Sun","Mon","Tue","Wed","Thu","Fri","Sat"],dayNamesMin:["Su","Mo","Tu","We","Th","Fr","Sa"],weekHeader:"Wk",dateFormat:"mm/dd/yy",firstDay:0,isRTL:!1,showMonthAfterYear:!1,yearSuffix:"",selectMonthLabel:"Select month",selectYearLabel:"Select year"},this._defaults={showOn:"focus",showAnim:"fadeIn",showOptions:{},defaultDate:null,appendText:"",buttonText:"...",buttonImage:"",buttonImageOnly:!1,hideIfNoPrevNext:!1,navigationAsDateFormat:!1,gotoCurrent:!1,changeMonth:!1,changeYear:!1,yearRange:"c-10:c+10",showOtherMonths:!1,selectOtherMonths:!1,showWeek:!1,calculateWeek:this.iso8601Week,shortYearCutoff:"+10",minDate:null,maxDate:null,duration:"fast",beforeShowDay:null,beforeShow:null,onSelect:null,onChangeMonthYear:null,onClose:null,onUpdateDatepicker:null,numberOfMonths:1,showCurrentAtPos:0,stepMonths:1,stepBigMonths:12,altField:"",altFormat:"",constrainInput:!0,showButtonPanel:!1,autoSize:!1,disabled:!1},V.extend(this._defaults,this.regional[""]),this.regional.en=V.extend(!0,{},this.regional[""]),this.regional["en-US"]=V.extend(!0,{},this.regional.en),this.dpDiv=nt(V("<div id='"+this._mainDivId+"' class='ui-datepicker ui-widget ui-widget-content ui-helper-clearfix ui-corner-all'></div>"))}function nt(t){var e="button, .ui-datepicker-prev, .ui-datepicker-next, .ui-datepicker-calendar td a";return t.on("mouseout",e,function(){V(this).removeClass("ui-state-hover"),-1!==this.className.indexOf("ui-datepicker-prev")&&V(this).removeClass("ui-datepicker-prev-hover"),-1!==this.className.indexOf("ui-datepicker-next")&&V(this).removeClass("ui-datepicker-next-hover")}).on("mouseover",e,ot)}function ot(){V.datepicker._isDisabledDatepicker((it.inline?it.dpDiv.parent():it.input)[0])||(V(this).parents(".ui-datepicker-calendar").find("a").removeClass("ui-state-hover"),V(this).addClass("ui-state-hover"),-1!==this.className.indexOf("ui-datepicker-prev")&&V(this).addClass("ui-datepicker-prev-hover"),-1!==this.className.indexOf("ui-datepicker-next")&&V(this).addClass("ui-datepicker-next-hover"))}function at(t,e){for(var i in V.extend(t,e),e)null==e[i]&&(t[i]=e[i]);return t}V.extend(V.ui,{datepicker:{version:"1.13.2"}}),V.extend(st.prototype,{markerClassName:"hasDatepicker",maxRows:4,_widgetDatepicker:function(){return this.dpDiv},setDefaults:function(t){return at(this._defaults,t||{}),this},_attachDatepicker:function(t,e){var i,s=t.nodeName.toLowerCase(),n="div"===s||"span"===s;t.id||(this.uuid+=1,t.id="dp"+this.uuid),(i=this._newInst(V(t),n)).settings=V.extend({},e||{}),"input"===s?this._connectDatepicker(t,i):n&&this._inlineDatepicker(t,i)},_newInst:function(t,e){return{id:t[0].id.replace(/([^A-Za-z0-9_\-])/g,"\\\\$1"),input:t,selectedDay:0,selectedMonth:0,selectedYear:0,drawMonth:0,drawYear:0,inline:e,dpDiv:e?nt(V("<div class='"+this._inlineClass+" ui-datepicker ui-widget ui-widget-content ui-helper-clearfix ui-corner-all'></div>")):this.dpDiv}},_connectDatepicker:function(t,e){var i=V(t);e.append=V([]),e.trigger=V([]),i.hasClass(this.markerClassName)||(this._attachments(i,e),i.addClass(this.markerClassName).on("keydown",this._doKeyDown).on("keypress",this._doKeyPress).on("keyup",this._doKeyUp),this._autoSize(e),V.data(t,"datepicker",e),e.settings.disabled&&this._disableDatepicker(t))},_attachments:function(t,e){var i,s=this._get(e,"appendText"),n=this._get(e,"isRTL");e.append&&e.append.remove(),s&&(e.append=V("<span>").addClass(this._appendClass).text(s),t[n?"before":"after"](e.append)),t.off("focus",this._showDatepicker),e.trigger&&e.trigger.remove(),"focus"!==(i=this._get(e,"showOn"))&&"both"!==i||t.on("focus",this._showDatepicker),"button"!==i&&"both"!==i||(s=this._get(e,"buttonText"),i=this._get(e,"buttonImage"),this._get(e,"buttonImageOnly")?e.trigger=V("<img>").addClass(this._triggerClass).attr({src:i,alt:s,title:s}):(e.trigger=V("<button type='button'>").addClass(this._triggerClass),i?e.trigger.html(V("<img>").attr({src:i,alt:s,title:s})):e.trigger.text(s)),t[n?"before":"after"](e.trigger),e.trigger.on("click",function(){return V.datepicker._datepickerShowing&&V.datepicker._lastInput===t[0]?V.datepicker._hideDatepicker():(V.datepicker._datepickerShowing&&V.datepicker._lastInput!==t[0]&&V.datepicker._hideDatepicker(),V.datepicker._showDatepicker(t[0])),!1}))},_autoSize:function(t){var e,i,s,n,o,a;this._get(t,"autoSize")&&!t.inline&&(o=new Date(2009,11,20),(a=this._get(t,"dateFormat")).match(/[DM]/)&&(e=function(t){for(n=s=i=0;n<t.length;n++)t[n].length>i&&(i=t[n].length,s=n);return s},o.setMonth(e(this._get(t,a.match(/MM/)?"monthNames":"monthNamesShort"))),o.setDate(e(this._get(t,a.match(/DD/)?"dayNames":"dayNamesShort"))+20-o.getDay())),t.input.attr("size",this._formatDate(t,o).length))},_inlineDatepicker:function(t,e){var i=V(t);i.hasClass(this.markerClassName)||(i.addClass(this.markerClassName).append(e.dpDiv),V.data(t,"datepicker",e),this._setDate(e,this._getDefaultDate(e),!0),this._updateDatepicker(e),this._updateAlternate(e),e.settings.disabled&&this._disableDatepicker(t),e.dpDiv.css("display","block"))},_dialogDatepicker:function(t,e,i,s,n){var o,a=this._dialogInst;return a||(this.uuid+=1,o="dp"+this.uuid,this._dialogInput=V("<input type='text' id='"+o+"' style='position: absolute; top: -100px; width: 0px;'/>"),this._dialogInput.on("keydown",this._doKeyDown),V("body").append(this._dialogInput),(a=this._dialogInst=this._newInst(this._dialogInput,!1)).settings={},V.data(this._dialogInput[0],"datepicker",a)),at(a.settings,s||{}),e=e&&e.constructor===Date?this._formatDate(a,e):e,this._dialogInput.val(e),this._pos=n?n.length?n:[n.pageX,n.pageY]:null,this._pos||(o=document.documentElement.clientWidth,s=document.documentElement.clientHeight,e=document.documentElement.scrollLeft||document.body.scrollLeft,n=document.documentElement.scrollTop||document.body.scrollTop,this._pos=[o/2-100+e,s/2-150+n]),this._dialogInput.css("left",this._pos[0]+20+"px").css("top",this._pos[1]+"px"),a.settings.onSelect=i,this._inDialog=!0,this.dpDiv.addClass(this._dialogClass),this._showDatepicker(this._dialogInput[0]),V.blockUI&&V.blockUI(this.dpDiv),V.data(this._dialogInput[0],"datepicker",a),this},_destroyDatepicker:function(t){var e,i=V(t),s=V.data(t,"datepicker");i.hasClass(this.markerClassName)&&(e=t.nodeName.toLowerCase(),V.removeData(t,"datepicker"),"input"===e?(s.append.remove(),s.trigger.remove(),i.removeClass(this.markerClassName).off("focus",this._showDatepicker).off("keydown",this._doKeyDown).off("keypress",this._doKeyPress).off("keyup",this._doKeyUp)):"div"!==e&&"span"!==e||i.removeClass(this.markerClassName).empty(),it===s&&(it=null,this._curInst=null))},_enableDatepicker:function(e){var t,i=V(e),s=V.data(e,"datepicker");i.hasClass(this.markerClassName)&&("input"===(t=e.nodeName.toLowerCase())?(e.disabled=!1,s.trigger.filter("button").each(function(){this.disabled=!1}).end().filter("img").css({opacity:"1.0",cursor:""})):"div"!==t&&"span"!==t||((i=i.children("."+this._inlineClass)).children().removeClass("ui-state-disabled"),i.find("select.ui-datepicker-month, select.ui-datepicker-year").prop("disabled",!1)),this._disabledInputs=V.map(this._disabledInputs,function(t){return t===e?null:t}))},_disableDatepicker:function(e){var t,i=V(e),s=V.data(e,"datepicker");i.hasClass(this.markerClassName)&&("input"===(t=e.nodeName.toLowerCase())?(e.disabled=!0,s.trigger.filter("button").each(function(){this.disabled=!0}).end().filter("img").css({opacity:"0.5",cursor:"default"})):"div"!==t&&"span"!==t||((i=i.children("."+this._inlineClass)).children().addClass("ui-state-disabled"),i.find("select.ui-datepicker-month, select.ui-datepicker-year").prop("disabled",!0)),this._disabledInputs=V.map(this._disabledInputs,function(t){return t===e?null:t}),this._disabledInputs[this._disabledInputs.length]=e)},_isDisabledDatepicker:function(t){if(!t)return!1;for(var e=0;e<this._disabledInputs.length;e++)if(this._disabledInputs[e]===t)return!0;return!1},_getInst:function(t){try{return V.data(t,"datepicker")}catch(t){throw"Missing instance data for this datepicker"}},_optionDatepicker:function(t,e,i){var s,n,o=this._getInst(t);if(2===arguments.length&&"string"==typeof e)return"defaults"===e?V.extend({},V.datepicker._defaults):o?"all"===e?V.extend({},o.settings):this._get(o,e):null;s=e||{},"string"==typeof e&&((s={})[e]=i),o&&(this._curInst===o&&this._hideDatepicker(),n=this._getDateDatepicker(t,!0),e=this._getMinMaxDate(o,"min"),i=this._getMinMaxDate(o,"max"),at(o.settings,s),null!==e&&void 0!==s.dateFormat&&void 0===s.minDate&&(o.settings.minDate=this._formatDate(o,e)),null!==i&&void 0!==s.dateFormat&&void 0===s.maxDate&&(o.settings.maxDate=this._formatDate(o,i)),"disabled"in s&&(s.disabled?this._disableDatepicker(t):this._enableDatepicker(t)),this._attachments(V(t),o),this._autoSize(o),this._setDate(o,n),this._updateAlternate(o),this._updateDatepicker(o))},_changeDatepicker:function(t,e,i){this._optionDatepicker(t,e,i)},_refreshDatepicker:function(t){t=this._getInst(t);t&&this._updateDatepicker(t)},_setDateDatepicker:function(t,e){t=this._getInst(t);t&&(this._setDate(t,e),this._updateDatepicker(t),this._updateAlternate(t))},_getDateDatepicker:function(t,e){t=this._getInst(t);return t&&!t.inline&&this._setDateFromField(t,e),t?this._getDate(t):null},_doKeyDown:function(t){var e,i,s=V.datepicker._getInst(t.target),n=!0,o=s.dpDiv.is(".ui-datepicker-rtl");if(s._keyEvent=!0,V.datepicker._datepickerShowing)switch(t.keyCode){case 9:V.datepicker._hideDatepicker(),n=!1;break;case 13:return(i=V("td."+V.datepicker._dayOverClass+":not(."+V.datepicker._currentClass+")",s.dpDiv))[0]&&V.datepicker._selectDay(t.target,s.selectedMonth,s.selectedYear,i[0]),(e=V.datepicker._get(s,"onSelect"))?(i=V.datepicker._formatDate(s),e.apply(s.input?s.input[0]:null,[i,s])):V.datepicker._hideDatepicker(),!1;case 27:V.datepicker._hideDatepicker();break;case 33:V.datepicker._adjustDate(t.target,t.ctrlKey?-V.datepicker._get(s,"stepBigMonths"):-V.datepicker._get(s,"stepMonths"),"M");break;case 34:V.datepicker._adjustDate(t.target,t.ctrlKey?+V.datepicker._get(s,"stepBigMonths"):+V.datepicker._get(s,"stepMonths"),"M");break;case 35:(t.ctrlKey||t.metaKey)&&V.datepicker._clearDate(t.target),n=t.ctrlKey||t.metaKey;break;case 36:(t.ctrlKey||t.metaKey)&&V.datepicker._gotoToday(t.target),n=t.ctrlKey||t.metaKey;break;case 37:(t.ctrlKey||t.metaKey)&&V.datepicker._adjustDate(t.target,o?1:-1,"D"),n=t.ctrlKey||t.metaKey,t.originalEvent.altKey&&V.datepicker._adjustDate(t.target,t.ctrlKey?-V.datepicker._get(s,"stepBigMonths"):-V.datepicker._get(s,"stepMonths"),"M");break;case 38:(t.ctrlKey||t.metaKey)&&V.datepicker._adjustDate(t.target,-7,"D"),n=t.ctrlKey||t.metaKey;break;case 39:(t.ctrlKey||t.metaKey)&&V.datepicker._adjustDate(t.target,o?-1:1,"D"),n=t.ctrlKey||t.metaKey,t.originalEvent.altKey&&V.datepicker._adjustDate(t.target,t.ctrlKey?+V.datepicker._get(s,"stepBigMonths"):+V.datepicker._get(s,"stepMonths"),"M");break;case 40:(t.ctrlKey||t.metaKey)&&V.datepicker._adjustDate(t.target,7,"D"),n=t.ctrlKey||t.metaKey;break;default:n=!1}else 36===t.keyCode&&t.ctrlKey?V.datepicker._showDatepicker(this):n=!1;n&&(t.preventDefault(),t.stopPropagation())},_doKeyPress:function(t){var e,i=V.datepicker._getInst(t.target);if(V.datepicker._get(i,"constrainInput"))return e=V.datepicker._possibleChars(V.datepicker._get(i,"dateFormat")),i=String.fromCharCode(null==t.charCode?t.keyCode:t.charCode),t.ctrlKey||t.metaKey||i<" "||!e||-1<e.indexOf(i)},_doKeyUp:function(t){t=V.datepicker._getInst(t.target);if(t.input.val()!==t.lastVal)try{V.datepicker.parseDate(V.datepicker._get(t,"dateFormat"),t.input?t.input.val():null,V.datepicker._getFormatConfig(t))&&(V.datepicker._setDateFromField(t),V.datepicker._updateAlternate(t),V.datepicker._updateDatepicker(t))}catch(t){}return!0},_showDatepicker:function(t){var e,i,s,n;"input"!==(t=t.target||t).nodeName.toLowerCase()&&(t=V("input",t.parentNode)[0]),V.datepicker._isDisabledDatepicker(t)||V.datepicker._lastInput===t||(n=V.datepicker._getInst(t),V.datepicker._curInst&&V.datepicker._curInst!==n&&(V.datepicker._curInst.dpDiv.stop(!0,!0),n&&V.datepicker._datepickerShowing&&V.datepicker._hideDatepicker(V.datepicker._curInst.input[0])),!1!==(i=(s=V.datepicker._get(n,"beforeShow"))?s.apply(t,[t,n]):{})&&(at(n.settings,i),n.lastVal=null,V.datepicker._lastInput=t,V.datepicker._setDateFromField(n),V.datepicker._inDialog&&(t.value=""),V.datepicker._pos||(V.datepicker._pos=V.datepicker._findPos(t),V.datepicker._pos[1]+=t.offsetHeight),e=!1,V(t).parents().each(function(){return!(e|="fixed"===V(this).css("position"))}),s={left:V.datepicker._pos[0],top:V.datepicker._pos[1]},V.datepicker._pos=null,n.dpDiv.empty(),n.dpDiv.css({position:"absolute",display:"block",top:"-1000px"}),V.datepicker._updateDatepicker(n),s=V.datepicker._checkOffset(n,s,e),n.dpDiv.css({position:V.datepicker._inDialog&&V.blockUI?"static":e?"fixed":"absolute",display:"none",left:s.left+"px",top:s.top+"px"}),n.inline||(i=V.datepicker._get(n,"showAnim"),s=V.datepicker._get(n,"duration"),n.dpDiv.css("z-index",function(t){for(var e,i;t.length&&t[0]!==document;){if(("absolute"===(e=t.css("position"))||"relative"===e||"fixed"===e)&&(i=parseInt(t.css("zIndex"),10),!isNaN(i)&&0!==i))return i;t=t.parent()}return 0}(V(t))+1),V.datepicker._datepickerShowing=!0,V.effects&&V.effects.effect[i]?n.dpDiv.show(i,V.datepicker._get(n,"showOptions"),s):n.dpDiv[i||"show"](i?s:null),V.datepicker._shouldFocusInput(n)&&n.input.trigger("focus"),V.datepicker._curInst=n)))},_updateDatepicker:function(t){this.maxRows=4,(it=t).dpDiv.empty().append(this._generateHTML(t)),this._attachHandlers(t);var e,i=this._getNumberOfMonths(t),s=i[1],n=t.dpDiv.find("."+this._dayOverClass+" a"),o=V.datepicker._get(t,"onUpdateDatepicker");0<n.length&&ot.apply(n.get(0)),t.dpDiv.removeClass("ui-datepicker-multi-2 ui-datepicker-multi-3 ui-datepicker-multi-4").width(""),1<s&&t.dpDiv.addClass("ui-datepicker-multi-"+s).css("width",17*s+"em"),t.dpDiv[(1!==i[0]||1!==i[1]?"add":"remove")+"Class"]("ui-datepicker-multi"),t.dpDiv[(this._get(t,"isRTL")?"add":"remove")+"Class"]("ui-datepicker-rtl"),t===V.datepicker._curInst&&V.datepicker._datepickerShowing&&V.datepicker._shouldFocusInput(t)&&t.input.trigger("focus"),t.yearshtml&&(e=t.yearshtml,setTimeout(function(){e===t.yearshtml&&t.yearshtml&&t.dpDiv.find("select.ui-datepicker-year").first().replaceWith(t.yearshtml),e=t.yearshtml=null},0)),o&&o.apply(t.input?t.input[0]:null,[t])},_shouldFocusInput:function(t){return t.input&&t.input.is(":visible")&&!t.input.is(":disabled")&&!t.input.is(":focus")},_checkOffset:function(t,e,i){var s=t.dpDiv.outerWidth(),n=t.dpDiv.outerHeight(),o=t.input?t.input.outerWidth():0,a=t.input?t.input.outerHeight():0,r=document.documentElement.clientWidth+(i?0:V(document).scrollLeft()),l=document.documentElement.clientHeight+(i?0:V(document).scrollTop());return e.left-=this._get(t,"isRTL")?s-o:0,e.left-=i&&e.left===t.input.offset().left?V(document).scrollLeft():0,e.top-=i&&e.top===t.input.offset().top+a?V(document).scrollTop():0,e.left-=Math.min(e.left,e.left+s>r&&s<r?Math.abs(e.left+s-r):0),e.top-=Math.min(e.top,e.top+n>l&&n<l?Math.abs(n+a):0),e},_findPos:function(t){for(var e=this._getInst(t),i=this._get(e,"isRTL");t&&("hidden"===t.type||1!==t.nodeType||V.expr.pseudos.hidden(t));)t=t[i?"previousSibling":"nextSibling"];return[(e=V(t).offset()).left,e.top]},_hideDatepicker:function(t){var e,i,s=this._curInst;!s||t&&s!==V.data(t,"datepicker")||this._datepickerShowing&&(e=this._get(s,"showAnim"),i=this._get(s,"duration"),t=function(){V.datepicker._tidyDialog(s)},V.effects&&(V.effects.effect[e]||V.effects[e])?s.dpDiv.hide(e,V.datepicker._get(s,"showOptions"),i,t):s.dpDiv["slideDown"===e?"slideUp":"fadeIn"===e?"fadeOut":"hide"](e?i:null,t),e||t(),this._datepickerShowing=!1,(t=this._get(s,"onClose"))&&t.apply(s.input?s.input[0]:null,[s.input?s.input.val():"",s]),this._lastInput=null,this._inDialog&&(this._dialogInput.css({position:"absolute",left:"0",top:"-100px"}),V.blockUI&&(V.unblockUI(),V("body").append(this.dpDiv))),this._inDialog=!1)},_tidyDialog:function(t){t.dpDiv.removeClass(this._dialogClass).off(".ui-datepicker-calendar")},_checkExternalClick:function(t){var e;V.datepicker._curInst&&(e=V(t.target),t=V.datepicker._getInst(e[0]),(e[0].id===V.datepicker._mainDivId||0!==e.parents("#"+V.datepicker._mainDivId).length||e.hasClass(V.datepicker.markerClassName)||e.closest("."+V.datepicker._triggerClass).length||!V.datepicker._datepickerShowing||V.datepicker._inDialog&&V.blockUI)&&(!e.hasClass(V.datepicker.markerClassName)||V.datepicker._curInst===t)||V.datepicker._hideDatepicker())},_adjustDate:function(t,e,i){var s=V(t),t=this._getInst(s[0]);this._isDisabledDatepicker(s[0])||(this._adjustInstDate(t,e,i),this._updateDatepicker(t))},_gotoToday:function(t){var e=V(t),i=this._getInst(e[0]);this._get(i,"gotoCurrent")&&i.currentDay?(i.selectedDay=i.currentDay,i.drawMonth=i.selectedMonth=i.currentMonth,i.drawYear=i.selectedYear=i.currentYear):(t=new Date,i.selectedDay=t.getDate(),i.drawMonth=i.selectedMonth=t.getMonth(),i.drawYear=i.selectedYear=t.getFullYear()),this._notifyChange(i),this._adjustDate(e)},_selectMonthYear:function(t,e,i){var s=V(t),t=this._getInst(s[0]);t["selected"+("M"===i?"Month":"Year")]=t["draw"+("M"===i?"Month":"Year")]=parseInt(e.options[e.selectedIndex].value,10),this._notifyChange(t),this._adjustDate(s)},_selectDay:function(t,e,i,s){var n=V(t);V(s).hasClass(this._unselectableClass)||this._isDisabledDatepicker(n[0])||((n=this._getInst(n[0])).selectedDay=n.currentDay=parseInt(V("a",s).attr("data-date")),n.selectedMonth=n.currentMonth=e,n.selectedYear=n.currentYear=i,this._selectDate(t,this._formatDate(n,n.currentDay,n.currentMonth,n.currentYear)))},_clearDate:function(t){t=V(t);this._selectDate(t,"")},_selectDate:function(t,e){var i=V(t),t=this._getInst(i[0]);e=null!=e?e:this._formatDate(t),t.input&&t.input.val(e),this._updateAlternate(t),(i=this._get(t,"onSelect"))?i.apply(t.input?t.input[0]:null,[e,t]):t.input&&t.input.trigger("change"),t.inline?this._updateDatepicker(t):(this._hideDatepicker(),this._lastInput=t.input[0],"object"!=typeof t.input[0]&&t.input.trigger("focus"),this._lastInput=null)},_updateAlternate:function(t){var e,i,s=this._get(t,"altField");s&&(e=this._get(t,"altFormat")||this._get(t,"dateFormat"),i=this._getDate(t),t=this.formatDate(e,i,this._getFormatConfig(t)),V(document).find(s).val(t))},noWeekends:function(t){t=t.getDay();return[0<t&&t<6,""]},iso8601Week:function(t){var e=new Date(t.getTime());return e.setDate(e.getDate()+4-(e.getDay()||7)),t=e.getTime(),e.setMonth(0),e.setDate(1),Math.floor(Math.round((t-e)/864e5)/7)+1},parseDate:function(e,n,t){if(null==e||null==n)throw"Invalid arguments";if(""===(n="object"==typeof n?n.toString():n+""))return null;for(var i,s,o,a=0,r=(t?t.shortYearCutoff:null)||this._defaults.shortYearCutoff,r="string"!=typeof r?r:(new Date).getFullYear()%100+parseInt(r,10),l=(t?t.dayNamesShort:null)||this._defaults.dayNamesShort,h=(t?t.dayNames:null)||this._defaults.dayNames,c=(t?t.monthNamesShort:null)||this._defaults.monthNamesShort,u=(t?t.monthNames:null)||this._defaults.monthNames,d=-1,p=-1,f=-1,g=-1,m=!1,_=function(t){t=w+1<e.length&&e.charAt(w+1)===t;return t&&w++,t},v=function(t){var e=_(t),e="@"===t?14:"!"===t?20:"y"===t&&e?4:"o"===t?3:2,e=new RegExp("^\\d{"+("y"===t?e:1)+","+e+"}"),e=n.substring(a).match(e);if(!e)throw"Missing number at position "+a;return a+=e[0].length,parseInt(e[0],10)},b=function(t,e,i){var s=-1,e=V.map(_(t)?i:e,function(t,e){return[[e,t]]}).sort(function(t,e){return-(t[1].length-e[1].length)});if(V.each(e,function(t,e){var i=e[1];if(n.substr(a,i.length).toLowerCase()===i.toLowerCase())return s=e[0],a+=i.length,!1}),-1!==s)return s+1;throw"Unknown name at position "+a},y=function(){if(n.charAt(a)!==e.charAt(w))throw"Unexpected literal at position 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dd-M-y",RFC_1036:"D, d M y",RFC_1123:"D, d M yy",RFC_2822:"D, d M yy",RSS:"D, d M y",TICKS:"!",TIMESTAMP:"@",W3C:"yy-mm-dd",_ticksTo1970:24*(718685+Math.floor(492.5)-Math.floor(19.7)+Math.floor(4.925))*60*60*1e7,formatDate:function(e,t,i){if(!t)return"";function s(t,e,i){var s=""+e;if(c(t))for(;s.length<i;)s="0"+s;return s}function n(t,e,i,s){return(c(t)?s:i)[e]}var o,a=(i?i.dayNamesShort:null)||this._defaults.dayNamesShort,r=(i?i.dayNames:null)||this._defaults.dayNames,l=(i?i.monthNamesShort:null)||this._defaults.monthNamesShort,h=(i?i.monthNames:null)||this._defaults.monthNames,c=function(t){t=o+1<e.length&&e.charAt(o+1)===t;return t&&o++,t},u="",d=!1;if(t)for(o=0;o<e.length;o++)if(d)"'"!==e.charAt(o)||c("'")?u+=e.charAt(o):d=!1;else switch(e.charAt(o)){case"d":u+=s("d",t.getDate(),2);break;case"D":u+=n("D",t.getDay(),a,r);break;case"o":u+=s("o",Math.round((new Date(t.getFullYear(),t.getMonth(),t.getDate()).getTime()-new Date(t.getFullYear(),0,0).getTime())/864e5),3);break;case"m":u+=s("m",t.getMonth()+1,2);break;case"M":u+=n("M",t.getMonth(),l,h);break;case"y":u+=c("y")?t.getFullYear():(t.getFullYear()%100<10?"0":"")+t.getFullYear()%100;break;case"@":u+=t.getTime();break;case"!":u+=1e4*t.getTime()+this._ticksTo1970;break;case"'":c("'")?u+="'":d=!0;break;default:u+=e.charAt(o)}return u},_possibleChars:function(e){for(var t="",i=!1,s=function(t){t=n+1<e.length&&e.charAt(n+1)===t;return t&&n++,t},n=0;n<e.length;n++)if(i)"'"!==e.charAt(n)||s("'")?t+=e.charAt(n):i=!1;else switch(e.charAt(n)){case"d":case"m":case"y":case"@":t+="0123456789";break;case"D":case"M":return null;case"'":s("'")?t+="'":i=!0;break;default:t+=e.charAt(n)}return t},_get:function(t,e){return(void 0!==t.settings[e]?t.settings:this._defaults)[e]},_setDateFromField:function(t,e){if(t.input.val()!==t.lastVal){var i=this._get(t,"dateFormat"),s=t.lastVal=t.input?t.input.val():null,n=this._getDefaultDate(t),o=n,a=this._getFormatConfig(t);try{o=this.parseDate(i,s,a)||n}catch(t){s=e?"":s}t.selectedDay=o.getDate(),t.drawMonth=t.selectedMonth=o.getMonth(),t.drawYear=t.selectedYear=o.getFullYear(),t.currentDay=s?o.getDate():0,t.currentMonth=s?o.getMonth():0,t.currentYear=s?o.getFullYear():0,this._adjustInstDate(t)}},_getDefaultDate:function(t){return this._restrictMinMax(t,this._determineDate(t,this._get(t,"defaultDate"),new Date))},_determineDate:function(r,t,e){var i,s,t=null==t||""===t?e:"string"==typeof t?function(t){try{return V.datepicker.parseDate(V.datepicker._get(r,"dateFormat"),t,V.datepicker._getFormatConfig(r))}catch(t){}for(var e=(t.toLowerCase().match(/^c/)?V.datepicker._getDate(r):null)||new Date,i=e.getFullYear(),s=e.getMonth(),n=e.getDate(),o=/([+\-]?[0-9]+)\s*(d|D|w|W|m|M|y|Y)?/g,a=o.exec(t);a;){switch(a[2]||"d"){case"d":case"D":n+=parseInt(a[1],10);break;case"w":case"W":n+=7*parseInt(a[1],10);break;case"m":case"M":s+=parseInt(a[1],10),n=Math.min(n,V.datepicker._getDaysInMonth(i,s));break;case"y":case"Y":i+=parseInt(a[1],10),n=Math.min(n,V.datepicker._getDaysInMonth(i,s))}a=o.exec(t)}return new Date(i,s,n)}(t):"number"==typeof t?isNaN(t)?e:(i=t,(s=new Date).setDate(s.getDate()+i),s):new Date(t.getTime());return(t=t&&"Invalid Date"===t.toString()?e:t)&&(t.setHours(0),t.setMinutes(0),t.setSeconds(0),t.setMilliseconds(0)),this._daylightSavingAdjust(t)},_daylightSavingAdjust:function(t){return t?(t.setHours(12<t.getHours()?t.getHours()+2:0),t):null},_setDate:function(t,e,i){var s=!e,n=t.selectedMonth,o=t.selectedYear,e=this._restrictMinMax(t,this._determineDate(t,e,new Date));t.selectedDay=t.currentDay=e.getDate(),t.drawMonth=t.selectedMonth=t.currentMonth=e.getMonth(),t.drawYear=t.selectedYear=t.currentYear=e.getFullYear(),n===t.selectedMonth&&o===t.selectedYear||i||this._notifyChange(t),this._adjustInstDate(t),t.input&&t.input.val(s?"":this._formatDate(t))},_getDate:function(t){return!t.currentYear||t.input&&""===t.input.val()?null:this._daylightSavingAdjust(new Date(t.currentYear,t.currentMonth,t.currentDay))},_attachHandlers:function(t){var e=this._get(t,"stepMonths"),i="#"+t.id.replace(/\\\\/g,"\\");t.dpDiv.find("[data-handler]").map(function(){var t={prev:function(){V.datepicker._adjustDate(i,-e,"M")},next:function(){V.datepicker._adjustDate(i,+e,"M")},hide:function(){V.datepicker._hideDatepicker()},today:function(){V.datepicker._gotoToday(i)},selectDay:function(){return V.datepicker._selectDay(i,+this.getAttribute("data-month"),+this.getAttribute("data-year"),this),!1},selectMonth:function(){return V.datepicker._selectMonthYear(i,this,"M"),!1},selectYear:function(){return V.datepicker._selectMonthYear(i,this,"Y"),!1}};V(this).on(this.getAttribute("data-event"),t[this.getAttribute("data-handler")])})},_generateHTML:function(t){var e,i,s,n,o,a,r,l,h,c,u,d,p,f,g,m,_,v,b,y,w,x,k,C,D,I,T,P,M,S,H,z,A=new Date,O=this._daylightSavingAdjust(new Date(A.getFullYear(),A.getMonth(),A.getDate())),N=this._get(t,"isRTL"),E=this._get(t,"showButtonPanel"),W=this._get(t,"hideIfNoPrevNext"),F=this._get(t,"navigationAsDateFormat"),L=this._getNumberOfMonths(t),R=this._get(t,"showCurrentAtPos"),A=this._get(t,"stepMonths"),Y=1!==L[0]||1!==L[1],B=this._daylightSavingAdjust(t.currentDay?new Date(t.currentYear,t.currentMonth,t.currentDay):new Date(9999,9,9)),j=this._getMinMaxDate(t,"min"),q=this._getMinMaxDate(t,"max"),K=t.drawMonth-R,U=t.drawYear;if(K<0&&(K+=12,U--),q)for(e=this._daylightSavingAdjust(new Date(q.getFullYear(),q.getMonth()-L[0]*L[1]+1,q.getDate())),e=j&&e<j?j:e;this._daylightSavingAdjust(new Date(U,K,1))>e;)--K<0&&(K=11,U--);for(t.drawMonth=K,t.drawYear=U,R=this._get(t,"prevText"),R=F?this.formatDate(R,this._daylightSavingAdjust(new Date(U,K-A,1)),this._getFormatConfig(t)):R,i=this._canAdjustMonth(t,-1,U,K)?V("<a>").attr({class:"ui-datepicker-prev ui-corner-all","data-handler":"prev","data-event":"click",title:R}).append(V("<span>").addClass("ui-icon ui-icon-circle-triangle-"+(N?"e":"w")).text(R))[0].outerHTML:W?"":V("<a>").attr({class:"ui-datepicker-prev ui-corner-all ui-state-disabled",title:R}).append(V("<span>").addClass("ui-icon ui-icon-circle-triangle-"+(N?"e":"w")).text(R))[0].outerHTML,R=this._get(t,"nextText"),R=F?this.formatDate(R,this._daylightSavingAdjust(new Date(U,K+A,1)),this._getFormatConfig(t)):R,s=this._canAdjustMonth(t,1,U,K)?V("<a>").attr({class:"ui-datepicker-next ui-corner-all","data-handler":"next","data-event":"click",title:R}).append(V("<span>").addClass("ui-icon ui-icon-circle-triangle-"+(N?"w":"e")).text(R))[0].outerHTML:W?"":V("<a>").attr({class:"ui-datepicker-next ui-corner-all ui-state-disabled",title:R}).append(V("<span>").attr("class","ui-icon ui-icon-circle-triangle-"+(N?"w":"e")).text(R))[0].outerHTML,A=this._get(t,"currentText"),W=this._get(t,"gotoCurrent")&&t.currentDay?B:O,A=F?this.formatDate(A,W,this._getFormatConfig(t)):A,R="",t.inline||(R=V("<button>").attr({type:"button",class:"ui-datepicker-close ui-state-default ui-priority-primary ui-corner-all","data-handler":"hide","data-event":"click"}).text(this._get(t,"closeText"))[0].outerHTML),F="",E&&(F=V("<div class='ui-datepicker-buttonpane ui-widget-content'>").append(N?R:"").append(this._isInRange(t,W)?V("<button>").attr({type:"button",class:"ui-datepicker-current ui-state-default ui-priority-secondary 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ui-datepicker-week-end":"")+(H?" ui-datepicker-other-month":"")+(T.getTime()===b.getTime()&&K===t.selectedMonth&&t._keyEvent||p.getTime()===T.getTime()&&p.getTime()===b.getTime()?" "+this._dayOverClass:"")+(z?" "+this._unselectableClass+" ui-state-disabled":"")+(H&&!u?"":" "+S[1]+(T.getTime()===B.getTime()?" 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t,e,i,s=this.options,n=this.document[0];this.relativeContainer=null,s.containment?"window"!==s.containment?"document"!==s.containment?s.containment.constructor!==Array?("parent"===s.containment&&(s.containment=this.helper[0].parentNode),(i=(e=V(s.containment))[0])&&(t=/(scroll|auto)/.test(e.css("overflow")),this.containment=[(parseInt(e.css("borderLeftWidth"),10)||0)+(parseInt(e.css("paddingLeft"),10)||0),(parseInt(e.css("borderTopWidth"),10)||0)+(parseInt(e.css("paddingTop"),10)||0),(t?Math.max(i.scrollWidth,i.offsetWidth):i.offsetWidth)-(parseInt(e.css("borderRightWidth"),10)||0)-(parseInt(e.css("paddingRight"),10)||0)-this.helperProportions.width-this.margins.left-this.margins.right,(t?Math.max(i.scrollHeight,i.offsetHeight):i.offsetHeight)-(parseInt(e.css("borderBottomWidth"),10)||0)-(parseInt(e.css("paddingBottom"),10)||0)-this.helperProportions.height-this.margins.top-this.margins.bottom],this.relativeContainer=e)):this.containment=s.containment:this.containment=[0,0,V(n).width()-this.helperProportions.width-this.margins.left,(V(n).height()||n.body.parentNode.scrollHeight)-this.helperProportions.height-this.margins.top]:this.containment=[V(window).scrollLeft()-this.offset.relative.left-this.offset.parent.left,V(window).scrollTop()-this.offset.relative.top-this.offset.parent.top,V(window).scrollLeft()+V(window).width()-this.helperProportions.width-this.margins.left,V(window).scrollTop()+(V(window).height()||n.body.parentNode.scrollHeight)-this.helperProportions.height-this.margins.top]:this.containment=null},_convertPositionTo:function(t,e){e=e||this.position;var i="absolute"===t?1:-1,t=this._isRootNode(this.scrollParent[0]);return{top:e.top+this.offset.relative.top*i+this.offset.parent.top*i-("fixed"===this.cssPosition?-this.offset.scroll.top:t?0:this.offset.scroll.top)*i,left:e.left+this.offset.relative.left*i+this.offset.parent.left*i-("fixed"===this.cssPosition?-this.offset.scroll.left:t?0:this.offset.scroll.left)*i}},_generatePosition:function(t,e){var i,s=this.options,n=this._isRootNode(this.scrollParent[0]),o=t.pageX,a=t.pageY;return n&&this.offset.scroll||(this.offset.scroll={top:this.scrollParent.scrollTop(),left:this.scrollParent.scrollLeft()}),e&&(this.containment&&(i=this.relativeContainer?(i=this.relativeContainer.offset(),[this.containment[0]+i.left,this.containment[1]+i.top,this.containment[2]+i.left,this.containment[3]+i.top]):this.containment,t.pageX-this.offset.click.left<i[0]&&(o=i[0]+this.offset.click.left),t.pageY-this.offset.click.top<i[1]&&(a=i[1]+this.offset.click.top),t.pageX-this.offset.click.left>i[2]&&(o=i[2]+this.offset.click.left),t.pageY-this.offset.click.top>i[3]&&(a=i[3]+this.offset.click.top)),s.grid&&(t=s.grid[1]?this.originalPageY+Math.round((a-this.originalPageY)/s.grid[1])*s.grid[1]:this.originalPageY,a=!i||t-this.offset.click.top>=i[1]||t-this.offset.click.top>i[3]?t:t-this.offset.click.top>=i[1]?t-s.grid[1]:t+s.grid[1],t=s.grid[0]?this.originalPageX+Math.round((o-this.originalPageX)/s.grid[0])*s.grid[0]:this.originalPageX,o=!i||t-this.offset.click.left>=i[0]||t-this.offset.click.left>i[2]?t:t-this.offset.click.left>=i[0]?t-s.grid[0]:t+s.grid[0]),"y"===s.axis&&(o=this.originalPageX),"x"===s.axis&&(a=this.originalPageY)),{top:a-this.offset.click.top-this.offset.relative.top-this.offset.parent.top+("fixed"===this.cssPosition?-this.offset.scroll.top:n?0:this.offset.scroll.top),left:o-this.offset.click.left-this.offset.relative.left-this.offset.parent.left+("fixed"===this.cssPosition?-this.offset.scroll.left:n?0:this.offset.scroll.left)}},_clear:function(){this._removeClass(this.helper,"ui-draggable-dragging"),this.helper[0]===this.element[0]||this.cancelHelperRemoval||this.helper.remove(),this.helper=null,this.cancelHelperRemoval=!1,this.destroyOnClear&&this.destroy()},_trigger:function(t,e,i){return i=i||this._uiHash(),V.ui.plugin.call(this,t,[e,i,this],!0),/^(drag|start|stop)/.test(t)&&(this.positionAbs=this._convertPositionTo("absolute"),i.offset=this.positionAbs),V.Widget.prototype._trigger.call(this,t,e,i)},plugins:{},_uiHash:function(){return{helper:this.helper,position:this.position,originalPosition:this.originalPosition,offset:this.positionAbs}}}),V.ui.plugin.add("draggable","connectToSortable",{start:function(e,t,i){var s=V.extend({},t,{item:i.element});i.sortables=[],V(i.options.connectToSortable).each(function(){var t=V(this).sortable("instance");t&&!t.options.disabled&&(i.sortables.push(t),t.refreshPositions(),t._trigger("activate",e,s))})},stop:function(e,t,i){var s=V.extend({},t,{item:i.element});i.cancelHelperRemoval=!1,V.each(i.sortables,function(){var t=this;t.isOver?(t.isOver=0,i.cancelHelperRemoval=!0,t.cancelHelperRemoval=!1,t._storedCSS={position:t.placeholder.css("position"),top:t.placeholder.css("top"),left:t.placeholder.css("left")},t._mouseStop(e),t.options.helper=t.options._helper):(t.cancelHelperRemoval=!0,t._trigger("deactivate",e,s))})},drag:function(i,s,n){V.each(n.sortables,function(){var t=!1,e=this;e.positionAbs=n.positionAbs,e.helperProportions=n.helperProportions,e.offset.click=n.offset.click,e._intersectsWith(e.containerCache)&&(t=!0,V.each(n.sortables,function(){return this.positionAbs=n.positionAbs,this.helperProportions=n.helperProportions,this.offset.click=n.offset.click,t=this!==e&&this._intersectsWith(this.containerCache)&&V.contains(e.element[0],this.element[0])?!1:t})),t?(e.isOver||(e.isOver=1,n._parent=s.helper.parent(),e.currentItem=s.helper.appendTo(e.element).data("ui-sortable-item",!0),e.options._helper=e.options.helper,e.options.helper=function(){return s.helper[0]},i.target=e.currentItem[0],e._mouseCapture(i,!0),e._mouseStart(i,!0,!0),e.offset.click.top=n.offset.click.top,e.offset.click.left=n.offset.click.left,e.offset.parent.left-=n.offset.parent.left-e.offset.parent.left,e.offset.parent.top-=n.offset.parent.top-e.offset.parent.top,n._trigger("toSortable",i),n.dropped=e.element,V.each(n.sortables,function(){this.refreshPositions()}),n.currentItem=n.element,e.fromOutside=n),e.currentItem&&(e._mouseDrag(i),s.position=e.position)):e.isOver&&(e.isOver=0,e.cancelHelperRemoval=!0,e.options._revert=e.options.revert,e.options.revert=!1,e._trigger("out",i,e._uiHash(e)),e._mouseStop(i,!0),e.options.revert=e.options._revert,e.options.helper=e.options._helper,e.placeholder&&e.placeholder.remove(),s.helper.appendTo(n._parent),n._refreshOffsets(i),s.position=n._generatePosition(i,!0),n._trigger("fromSortable",i),n.dropped=!1,V.each(n.sortables,function(){this.refreshPositions()}))})}}),V.ui.plugin.add("draggable","cursor",{start:function(t,e,i){var s=V("body"),i=i.options;s.css("cursor")&&(i._cursor=s.css("cursor")),s.css("cursor",i.cursor)},stop:function(t,e,i){i=i.options;i._cursor&&V("body").css("cursor",i._cursor)}}),V.ui.plugin.add("draggable","opacity",{start:function(t,e,i){e=V(e.helper),i=i.options;e.css("opacity")&&(i._opacity=e.css("opacity")),e.css("opacity",i.opacity)},stop:function(t,e,i){i=i.options;i._opacity&&V(e.helper).css("opacity",i._opacity)}}),V.ui.plugin.add("draggable","scroll",{start:function(t,e,i){i.scrollParentNotHidden||(i.scrollParentNotHidden=i.helper.scrollParent(!1)),i.scrollParentNotHidden[0]!==i.document[0]&&"HTML"!==i.scrollParentNotHidden[0].tagName&&(i.overflowOffset=i.scrollParentNotHidden.offset())},drag:function(t,e,i){var s=i.options,n=!1,o=i.scrollParentNotHidden[0],a=i.document[0];o!==a&&"HTML"!==o.tagName?(s.axis&&"x"===s.axis||(i.overflowOffset.top+o.offsetHeight-t.pageY<s.scrollSensitivity?o.scrollTop=n=o.scrollTop+s.scrollSpeed:t.pageY-i.overflowOffset.top<s.scrollSensitivity&&(o.scrollTop=n=o.scrollTop-s.scrollSpeed)),s.axis&&"y"===s.axis||(i.overflowOffset.left+o.offsetWidth-t.pageX<s.scrollSensitivity?o.scrollLeft=n=o.scrollLeft+s.scrollSpeed:t.pageX-i.overflowOffset.left<s.scrollSensitivity&&(o.scrollLeft=n=o.scrollLeft-s.scrollSpeed))):(s.axis&&"x"===s.axis||(t.pageY-V(a).scrollTop()<s.scrollSensitivity?n=V(a).scrollTop(V(a).scrollTop()-s.scrollSpeed):V(window).height()-(t.pageY-V(a).scrollTop())<s.scrollSensitivity&&(n=V(a).scrollTop(V(a).scrollTop()+s.scrollSpeed))),s.axis&&"y"===s.axis||(t.pageX-V(a).scrollLeft()<s.scrollSensitivity?n=V(a).scrollLeft(V(a).scrollLeft()-s.scrollSpeed):V(window).width()-(t.pageX-V(a).scrollLeft())<s.scrollSensitivity&&(n=V(a).scrollLeft(V(a).scrollLeft()+s.scrollSpeed)))),!1!==n&&V.ui.ddmanager&&!s.dropBehaviour&&V.ui.ddmanager.prepareOffsets(i,t)}}),V.ui.plugin.add("draggable","snap",{start:function(t,e,i){var s=i.options;i.snapElements=[],V(s.snap.constructor!==String?s.snap.items||":data(ui-draggable)":s.snap).each(function(){var t=V(this),e=t.offset();this!==i.element[0]&&i.snapElements.push({item:this,width:t.outerWidth(),height:t.outerHeight(),top:e.top,left:e.left})})},drag:function(t,e,i){for(var s,n,o,a,r,l,h,c,u,d=i.options,p=d.snapTolerance,f=e.offset.left,g=f+i.helperProportions.width,m=e.offset.top,_=m+i.helperProportions.height,v=i.snapElements.length-1;0<=v;v--)l=(r=i.snapElements[v].left-i.margins.left)+i.snapElements[v].width,c=(h=i.snapElements[v].top-i.margins.top)+i.snapElements[v].height,g<r-p||l+p<f||_<h-p||c+p<m||!V.contains(i.snapElements[v].item.ownerDocument,i.snapElements[v].item)?(i.snapElements[v].snapping&&i.options.snap.release&&i.options.snap.release.call(i.element,t,V.extend(i._uiHash(),{snapItem:i.snapElements[v].item})),i.snapElements[v].snapping=!1):("inner"!==d.snapMode&&(s=Math.abs(h-_)<=p,n=Math.abs(c-m)<=p,o=Math.abs(r-g)<=p,a=Math.abs(l-f)<=p,s&&(e.position.top=i._convertPositionTo("relative",{top:h-i.helperProportions.height,left:0}).top),n&&(e.position.top=i._convertPositionTo("relative",{top:c,left:0}).top),o&&(e.position.left=i._convertPositionTo("relative",{top:0,left:r-i.helperProportions.width}).left),a&&(e.position.left=i._convertPositionTo("relative",{top:0,left:l}).left)),u=s||n||o||a,"outer"!==d.snapMode&&(s=Math.abs(h-m)<=p,n=Math.abs(c-_)<=p,o=Math.abs(r-f)<=p,a=Math.abs(l-g)<=p,s&&(e.position.top=i._convertPositionTo("relative",{top:h,left:0}).top),n&&(e.position.top=i._convertPositionTo("relative",{top:c-i.helperProportions.height,left:0}).top),o&&(e.position.left=i._convertPositionTo("relative",{top:0,left:r}).left),a&&(e.position.left=i._convertPositionTo("relative",{top:0,left:l-i.helperProportions.width}).left)),!i.snapElements[v].snapping&&(s||n||o||a||u)&&i.options.snap.snap&&i.options.snap.snap.call(i.element,t,V.extend(i._uiHash(),{snapItem:i.snapElements[v].item})),i.snapElements[v].snapping=s||n||o||a||u)}}),V.ui.plugin.add("draggable","stack",{start:function(t,e,i){var s,i=i.options,i=V.makeArray(V(i.stack)).sort(function(t,e){return(parseInt(V(t).css("zIndex"),10)||0)-(parseInt(V(e).css("zIndex"),10)||0)});i.length&&(s=parseInt(V(i[0]).css("zIndex"),10)||0,V(i).each(function(t){V(this).css("zIndex",s+t)}),this.css("zIndex",s+i.length))}}),V.ui.plugin.add("draggable","zIndex",{start:function(t,e,i){e=V(e.helper),i=i.options;e.css("zIndex")&&(i._zIndex=e.css("zIndex")),e.css("zIndex",i.zIndex)},stop:function(t,e,i){i=i.options;i._zIndex&&V(e.helper).css("zIndex",i._zIndex)}});V.ui.draggable;V.widget("ui.resizable",V.ui.mouse,{version:"1.13.2",widgetEventPrefix:"resize",options:{alsoResize:!1,animate:!1,animateDuration:"slow",animateEasing:"swing",aspectRatio:!1,autoHide:!1,classes:{"ui-resizable-se":"ui-icon ui-icon-gripsmall-diagonal-se"},containment:!1,ghost:!1,grid:!1,handles:"e,s,se",helper:!1,maxHeight:null,maxWidth:null,minHeight:10,minWidth:10,zIndex:90,resize:null,start:null,stop:null},_num:function(t){return parseFloat(t)||0},_isNumber:function(t){return!isNaN(parseFloat(t))},_hasScroll:function(t,e){if("hidden"===V(t).css("overflow"))return!1;var i=e&&"left"===e?"scrollLeft":"scrollTop",e=!1;if(0<t[i])return!0;try{t[i]=1,e=0<t[i],t[i]=0}catch(t){}return e},_create:function(){var t,e=this.options,i=this;this._addClass("ui-resizable"),V.extend(this,{_aspectRatio:!!e.aspectRatio,aspectRatio:e.aspectRatio,originalElement:this.element,_proportionallyResizeElements:[],_helper:e.helper||e.ghost||e.animate?e.helper||"ui-resizable-helper":null}),this.element[0].nodeName.match(/^(canvas|textarea|input|select|button|img)$/i)&&(this.element.wrap(V("<div class='ui-wrapper'></div>").css({overflow:"hidden",position:this.element.css("position"),width:this.element.outerWidth(),height:this.element.outerHeight(),top:this.element.css("top"),left:this.element.css("left")})),this.element=this.element.parent().data("ui-resizable",this.element.resizable("instance")),this.elementIsWrapper=!0,t={marginTop:this.originalElement.css("marginTop"),marginRight:this.originalElement.css("marginRight"),marginBottom:this.originalElement.css("marginBottom"),marginLeft:this.originalElement.css("marginLeft")},this.element.css(t),this.originalElement.css("margin",0),this.originalResizeStyle=this.originalElement.css("resize"),this.originalElement.css("resize","none"),this._proportionallyResizeElements.push(this.originalElement.css({position:"static",zoom:1,display:"block"})),this.originalElement.css(t),this._proportionallyResize()),this._setupHandles(),e.autoHide&&V(this.element).on("mouseenter",function(){e.disabled||(i._removeClass("ui-resizable-autohide"),i._handles.show())}).on("mouseleave",function(){e.disabled||i.resizing||(i._addClass("ui-resizable-autohide"),i._handles.hide())}),this._mouseInit()},_destroy:function(){this._mouseDestroy(),this._addedHandles.remove();function t(t){V(t).removeData("resizable").removeData("ui-resizable").off(".resizable")}var e;return this.elementIsWrapper&&(t(this.element),e=this.element,this.originalElement.css({position:e.css("position"),width:e.outerWidth(),height:e.outerHeight(),top:e.css("top"),left:e.css("left")}).insertAfter(e),e.remove()),this.originalElement.css("resize",this.originalResizeStyle),t(this.originalElement),this},_setOption:function(t,e){switch(this._super(t,e),t){case"handles":this._removeHandles(),this._setupHandles();break;case"aspectRatio":this._aspectRatio=!!e}},_setupHandles:function(){var t,e,i,s,n,o=this.options,a=this;if(this.handles=o.handles||(V(".ui-resizable-handle",this.element).length?{n:".ui-resizable-n",e:".ui-resizable-e",s:".ui-resizable-s",w:".ui-resizable-w",se:".ui-resizable-se",sw:".ui-resizable-sw",ne:".ui-resizable-ne",nw:".ui-resizable-nw"}:"e,s,se"),this._handles=V(),this._addedHandles=V(),this.handles.constructor===String)for("all"===this.handles&&(this.handles="n,e,s,w,se,sw,ne,nw"),i=this.handles.split(","),this.handles={},e=0;e<i.length;e++)s="ui-resizable-"+(t=String.prototype.trim.call(i[e])),n=V("<div>"),this._addClass(n,"ui-resizable-handle "+s),n.css({zIndex:o.zIndex}),this.handles[t]=".ui-resizable-"+t,this.element.children(this.handles[t]).length||(this.element.append(n),this._addedHandles=this._addedHandles.add(n));this._renderAxis=function(t){var e,i,s;for(e in t=t||this.element,this.handles)this.handles[e].constructor===String?this.handles[e]=this.element.children(this.handles[e]).first().show():(this.handles[e].jquery||this.handles[e].nodeType)&&(this.handles[e]=V(this.handles[e]),this._on(this.handles[e],{mousedown:a._mouseDown})),this.elementIsWrapper&&this.originalElement[0].nodeName.match(/^(textarea|input|select|button)$/i)&&(i=V(this.handles[e],this.element),s=/sw|ne|nw|se|n|s/.test(e)?i.outerHeight():i.outerWidth(),i=["padding",/ne|nw|n/.test(e)?"Top":/se|sw|s/.test(e)?"Bottom":/^e$/.test(e)?"Right":"Left"].join(""),t.css(i,s),this._proportionallyResize()),this._handles=this._handles.add(this.handles[e])},this._renderAxis(this.element),this._handles=this._handles.add(this.element.find(".ui-resizable-handle")),this._handles.disableSelection(),this._handles.on("mouseover",function(){a.resizing||(this.className&&(n=this.className.match(/ui-resizable-(se|sw|ne|nw|n|e|s|w)/i)),a.axis=n&&n[1]?n[1]:"se")}),o.autoHide&&(this._handles.hide(),this._addClass("ui-resizable-autohide"))},_removeHandles:function(){this._addedHandles.remove()},_mouseCapture:function(t){var e,i,s=!1;for(e in this.handles)(i=V(this.handles[e])[0])!==t.target&&!V.contains(i,t.target)||(s=!0);return!this.options.disabled&&s},_mouseStart:function(t){var e,i,s=this.options,n=this.element;return this.resizing=!0,this._renderProxy(),e=this._num(this.helper.css("left")),i=this._num(this.helper.css("top")),s.containment&&(e+=V(s.containment).scrollLeft()||0,i+=V(s.containment).scrollTop()||0),this.offset=this.helper.offset(),this.position={left:e,top:i},this.size=this._helper?{width:this.helper.width(),height:this.helper.height()}:{width:n.width(),height:n.height()},this.originalSize=this._helper?{width:n.outerWidth(),height:n.outerHeight()}:{width:n.width(),height:n.height()},this.sizeDiff={width:n.outerWidth()-n.width(),height:n.outerHeight()-n.height()},this.originalPosition={left:e,top:i},this.originalMousePosition={left:t.pageX,top:t.pageY},this.aspectRatio="number"==typeof s.aspectRatio?s.aspectRatio:this.originalSize.width/this.originalSize.height||1,s=V(".ui-resizable-"+this.axis).css("cursor"),V("body").css("cursor","auto"===s?this.axis+"-resize":s),this._addClass("ui-resizable-resizing"),this._propagate("start",t),!0},_mouseDrag:function(t){var e=this.originalMousePosition,i=this.axis,s=t.pageX-e.left||0,e=t.pageY-e.top||0,i=this._change[i];return this._updatePrevProperties(),i&&(e=i.apply(this,[t,s,e]),this._updateVirtualBoundaries(t.shiftKey),(this._aspectRatio||t.shiftKey)&&(e=this._updateRatio(e,t)),e=this._respectSize(e,t),this._updateCache(e),this._propagate("resize",t),e=this._applyChanges(),!this._helper&&this._proportionallyResizeElements.length&&this._proportionallyResize(),V.isEmptyObject(e)||(this._updatePrevProperties(),this._trigger("resize",t,this.ui()),this._applyChanges())),!1},_mouseStop:function(t){this.resizing=!1;var e,i,s,n=this.options,o=this;return this._helper&&(s=(e=(i=this._proportionallyResizeElements).length&&/textarea/i.test(i[0].nodeName))&&this._hasScroll(i[0],"left")?0:o.sizeDiff.height,i=e?0:o.sizeDiff.width,e={width:o.helper.width()-i,height:o.helper.height()-s},i=parseFloat(o.element.css("left"))+(o.position.left-o.originalPosition.left)||null,s=parseFloat(o.element.css("top"))+(o.position.top-o.originalPosition.top)||null,n.animate||this.element.css(V.extend(e,{top:s,left:i})),o.helper.height(o.size.height),o.helper.width(o.size.width),this._helper&&!n.animate&&this._proportionallyResize()),V("body").css("cursor","auto"),this._removeClass("ui-resizable-resizing"),this._propagate("stop",t),this._helper&&this.helper.remove(),!1},_updatePrevProperties:function(){this.prevPosition={top:this.position.top,left:this.position.left},this.prevSize={width:this.size.width,height:this.size.height}},_applyChanges:function(){var t={};return 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t=this.options.appendTo;return t&&(t.jquery||t.nodeType)?V(t):this.document.find(t||"body").eq(0)},_destroy:function(){var t,e=this.originalPosition;this._untrackInstance(),this._destroyOverlay(),this.element.removeUniqueId().css(this.originalCss).detach(),this.uiDialog.remove(),this.originalTitle&&this.element.attr("title",this.originalTitle),(t=e.parent.children().eq(e.index)).length&&t[0]!==this.element[0]?t.before(this.element):e.parent.append(this.element)},widget:function(){return this.uiDialog},disable:V.noop,enable:V.noop,close:function(t){var e=this;this._isOpen&&!1!==this._trigger("beforeClose",t)&&(this._isOpen=!1,this._focusedElement=null,this._destroyOverlay(),this._untrackInstance(),this.opener.filter(":focusable").trigger("focus").length||V.ui.safeBlur(V.ui.safeActiveElement(this.document[0])),this._hide(this.uiDialog,this.options.hide,function(){e._trigger("close",t)}))},isOpen:function(){return this._isOpen},moveToTop:function(){this._moveToTop()},_moveToTop:function(t,e){var i=!1,s=this.uiDialog.siblings(".ui-front:visible").map(function(){return+V(this).css("z-index")}).get(),s=Math.max.apply(null,s);return s>=+this.uiDialog.css("z-index")&&(this.uiDialog.css("z-index",s+1),i=!0),i&&!e&&this._trigger("focus",t),i},open:function(){var t=this;this._isOpen?this._moveToTop()&&this._focusTabbable():(this._isOpen=!0,this.opener=V(V.ui.safeActiveElement(this.document[0])),this._size(),this._position(),this._createOverlay(),this._moveToTop(null,!0),this.overlay&&this.overlay.css("z-index",this.uiDialog.css("z-index")-1),this._show(this.uiDialog,this.options.show,function(){t._focusTabbable(),t._trigger("focus")}),this._makeFocusTarget(),this._trigger("open"))},_focusTabbable:function(){var t=this._focusedElement;(t=!(t=!(t=!(t=!(t=t||this.element.find("[autofocus]")).length?this.element.find(":tabbable"):t).length?this.uiDialogButtonPane.find(":tabbable"):t).length?this.uiDialogTitlebarClose.filter(":tabbable"):t).length?this.uiDialog:t).eq(0).trigger("focus")},_restoreTabbableFocus:function(){var t=V.ui.safeActiveElement(this.document[0]);this.uiDialog[0]===t||V.contains(this.uiDialog[0],t)||this._focusTabbable()},_keepFocus:function(t){t.preventDefault(),this._restoreTabbableFocus(),this._delay(this._restoreTabbableFocus)},_createWrapper:function(){this.uiDialog=V("<div>").hide().attr({tabIndex:-1,role:"dialog"}).appendTo(this._appendTo()),this._addClass(this.uiDialog,"ui-dialog","ui-widget ui-widget-content ui-front"),this._on(this.uiDialog,{keydown:function(t){if(this.options.closeOnEscape&&!t.isDefaultPrevented()&&t.keyCode&&t.keyCode===V.ui.keyCode.ESCAPE)return t.preventDefault(),void this.close(t);var e,i,s;t.keyCode!==V.ui.keyCode.TAB||t.isDefaultPrevented()||(e=this.uiDialog.find(":tabbable"),i=e.first(),s=e.last(),t.target!==s[0]&&t.target!==this.uiDialog[0]||t.shiftKey?t.target!==i[0]&&t.target!==this.uiDialog[0]||!t.shiftKey||(this._delay(function(){s.trigger("focus")}),t.preventDefault()):(this._delay(function(){i.trigger("focus")}),t.preventDefault()))},mousedown:function(t){this._moveToTop(t)&&this._focusTabbable()}}),this.element.find("[aria-describedby]").length||this.uiDialog.attr({"aria-describedby":this.element.uniqueId().attr("id")})},_createTitlebar:function(){var t;this.uiDialogTitlebar=V("<div>"),this._addClass(this.uiDialogTitlebar,"ui-dialog-titlebar","ui-widget-header ui-helper-clearfix"),this._on(this.uiDialogTitlebar,{mousedown:function(t){V(t.target).closest(".ui-dialog-titlebar-close")||this.uiDialog.trigger("focus")}}),this.uiDialogTitlebarClose=V("<button 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s=this,t=this.options.buttons;this.uiDialogButtonPane.remove(),this.uiButtonSet.empty(),V.isEmptyObject(t)||Array.isArray(t)&&!t.length?this._removeClass(this.uiDialog,"ui-dialog-buttons"):(V.each(t,function(t,e){var i;e=V.extend({type:"button"},e="function"==typeof e?{click:e,text:t}:e),i=e.click,t={icon:e.icon,iconPosition:e.iconPosition,showLabel:e.showLabel,icons:e.icons,text:e.text},delete e.click,delete e.icon,delete e.iconPosition,delete e.showLabel,delete e.icons,"boolean"==typeof e.text&&delete e.text,V("<button></button>",e).button(t).appendTo(s.uiButtonSet).on("click",function(){i.apply(s.element[0],arguments)})}),this._addClass(this.uiDialog,"ui-dialog-buttons"),this.uiDialogButtonPane.appendTo(this.uiDialog))},_makeDraggable:function(){var n=this,o=this.options;function a(t){return{position:t.position,offset:t.offset}}this.uiDialog.draggable({cancel:".ui-dialog-content, .ui-dialog-titlebar-close",handle:".ui-dialog-titlebar",containment:"document",start:function(t,e){n._addClass(V(this),"ui-dialog-dragging"),n._blockFrames(),n._trigger("dragStart",t,a(e))},drag:function(t,e){n._trigger("drag",t,a(e))},stop:function(t,e){var i=e.offset.left-n.document.scrollLeft(),s=e.offset.top-n.document.scrollTop();o.position={my:"left top",at:"left"+(0<=i?"+":"")+i+" top"+(0<=s?"+":"")+s,of:n.window},n._removeClass(V(this),"ui-dialog-dragging"),n._unblockFrames(),n._trigger("dragStop",t,a(e))}})},_makeResizable:function(){var n=this,o=this.options,t=o.resizable,e=this.uiDialog.css("position"),t="string"==typeof t?t:"n,e,s,w,se,sw,ne,nw";function a(t){return{originalPosition:t.originalPosition,originalSize:t.originalSize,position:t.position,size:t.size}}this.uiDialog.resizable({cancel:".ui-dialog-content",containment:"document",alsoResize:this.element,maxWidth:o.maxWidth,maxHeight:o.maxHeight,minWidth:o.minWidth,minHeight:this._minHeight(),handles:t,start:function(t,e){n._addClass(V(this),"ui-dialog-resizing"),n._blockFrames(),n._trigger("resizeStart",t,a(e))},resize:function(t,e){n._trigger("resize",t,a(e))},stop:function(t,e){var i=n.uiDialog.offset(),s=i.left-n.document.scrollLeft(),i=i.top-n.document.scrollTop();o.height=n.uiDialog.height(),o.width=n.uiDialog.width(),o.position={my:"left top",at:"left"+(0<=s?"+":"")+s+" top"+(0<=i?"+":"")+i,of:n.window},n._removeClass(V(this),"ui-dialog-resizing"),n._unblockFrames(),n._trigger("resizeStop",t,a(e))}}).css("position",e)},_trackFocus:function(){this._on(this.widget(),{focusin:function(t){this._makeFocusTarget(),this._focusedElement=V(t.target)}})},_makeFocusTarget:function(){this._untrackInstance(),this._trackingInstances().unshift(this)},_untrackInstance:function(){var t=this._trackingInstances(),e=V.inArray(this,t);-1!==e&&t.splice(e,1)},_trackingInstances:function(){var t=this.document.data("ui-dialog-instances");return t||this.document.data("ui-dialog-instances",t=[]),t},_minHeight:function(){var t=this.options;return"auto"===t.height?t.minHeight:Math.min(t.minHeight,t.height)},_position:function(){var t=this.uiDialog.is(":visible");t||this.uiDialog.show(),this.uiDialog.position(this.options.position),t||this.uiDialog.hide()},_setOptions:function(t){var i=this,s=!1,n={};V.each(t,function(t,e){i._setOption(t,e),t in i.sizeRelatedOptions&&(s=!0),t in i.resizableRelatedOptions&&(n[t]=e)}),s&&(this._size(),this._position()),this.uiDialog.is(":data(ui-resizable)")&&this.uiDialog.resizable("option",n)},_setOption:function(t,e){var i,s=this.uiDialog;"disabled"!==t&&(this._super(t,e),"appendTo"===t&&this.uiDialog.appendTo(this._appendTo()),"buttons"===t&&this._createButtons(),"closeText"===t&&this.uiDialogTitlebarClose.button({label:V("<a>").text(""+this.options.closeText).html()}),"draggable"===t&&((i=s.is(":data(ui-draggable)"))&&!e&&s.draggable("destroy"),!i&&e&&this._makeDraggable()),"position"===t&&this._position(),"resizable"===t&&((i=s.is(":data(ui-resizable)"))&&!e&&s.resizable("destroy"),i&&"string"==typeof e&&s.resizable("option","handles",e),i||!1===e||this._makeResizable()),"title"===t&&this._title(this.uiDialogTitlebar.find(".ui-dialog-title")))},_size:function(){var t,e,i,s=this.options;this.element.show().css({width:"auto",minHeight:0,maxHeight:"none",height:0}),s.minWidth>s.width&&(s.width=s.minWidth),t=this.uiDialog.css({height:"auto",width:s.width}).outerHeight(),e=Math.max(0,s.minHeight-t),i="number"==typeof s.maxHeight?Math.max(0,s.maxHeight-t):"none","auto"===s.height?this.element.css({minHeight:e,maxHeight:i,height:"auto"}):this.element.height(Math.max(0,s.height-t)),this.uiDialog.is(":data(ui-resizable)")&&this.uiDialog.resizable("option","minHeight",this._minHeight())},_blockFrames:function(){this.iframeBlocks=this.document.find("iframe").map(function(){var t=V(this);return V("<div>").css({position:"absolute",width:t.outerWidth(),height:t.outerHeight()}).appendTo(t.parent()).offset(t.offset())[0]})},_unblockFrames:function(){this.iframeBlocks&&(this.iframeBlocks.remove(),delete this.iframeBlocks)},_allowInteraction:function(t){return!!V(t.target).closest(".ui-dialog").length||!!V(t.target).closest(".ui-datepicker").length},_createOverlay:function(){var i,s;this.options.modal&&(i=V.fn.jquery.substring(0,4),s=!0,this._delay(function(){s=!1}),this.document.data("ui-dialog-overlays")||this.document.on("focusin.ui-dialog",function(t){var e;s||((e=this._trackingInstances()[0])._allowInteraction(t)||(t.preventDefault(),e._focusTabbable(),"3.4."!==i&&"3.5."!==i||e._delay(e._restoreTabbableFocus)))}.bind(this)),this.overlay=V("<div>").appendTo(this._appendTo()),this._addClass(this.overlay,null,"ui-widget-overlay ui-front"),this._on(this.overlay,{mousedown:"_keepFocus"}),this.document.data("ui-dialog-overlays",(this.document.data("ui-dialog-overlays")||0)+1))},_destroyOverlay:function(){var t;this.options.modal&&this.overlay&&((t=this.document.data("ui-dialog-overlays")-1)?this.document.data("ui-dialog-overlays",t):(this.document.off("focusin.ui-dialog"),this.document.removeData("ui-dialog-overlays")),this.overlay.remove(),this.overlay=null)}}),!1!==V.uiBackCompat&&V.widget("ui.dialog",V.ui.dialog,{options:{dialogClass:""},_createWrapper:function(){this._super(),this.uiDialog.addClass(this.options.dialogClass)},_setOption:function(t,e){"dialogClass"===t&&this.uiDialog.removeClass(this.options.dialogClass).addClass(e),this._superApply(arguments)}});V.ui.dialog;function lt(t,e,i){return e<=t&&t<e+i}V.widget("ui.droppable",{version:"1.13.2",widgetEventPrefix:"drop",options:{accept:"*",addClasses:!0,greedy:!1,scope:"default",tolerance:"intersect",activate:null,deactivate:null,drop:null,out:null,over:null},_create:function(){var t,e=this.options,i=e.accept;this.isover=!1,this.isout=!0,this.accept="function"==typeof i?i:function(t){return t.is(i)},this.proportions=function(){if(!arguments.length)return t=t||{width:this.element[0].offsetWidth,height:this.element[0].offsetHeight};t=arguments[0]},this._addToManager(e.scope),e.addClasses&&this._addClass("ui-droppable")},_addToManager:function(t){V.ui.ddmanager.droppables[t]=V.ui.ddmanager.droppables[t]||[],V.ui.ddmanager.droppables[t].push(this)},_splice:function(t){for(var e=0;e<t.length;e++)t[e]===this&&t.splice(e,1)},_destroy:function(){var t=V.ui.ddmanager.droppables[this.options.scope];this._splice(t)},_setOption:function(t,e){var i;"accept"===t?this.accept="function"==typeof e?e:function(t){return t.is(e)}:"scope"===t&&(i=V.ui.ddmanager.droppables[this.options.scope],this._splice(i),this._addToManager(e)),this._super(t,e)},_activate:function(t){var e=V.ui.ddmanager.current;this._addActiveClass(),e&&this._trigger("activate",t,this.ui(e))},_deactivate:function(t){var e=V.ui.ddmanager.current;this._removeActiveClass(),e&&this._trigger("deactivate",t,this.ui(e))},_over:function(t){var e=V.ui.ddmanager.current;e&&(e.currentItem||e.element)[0]!==this.element[0]&&this.accept.call(this.element[0],e.currentItem||e.element)&&(this._addHoverClass(),this._trigger("over",t,this.ui(e)))},_out:function(t){var e=V.ui.ddmanager.current;e&&(e.currentItem||e.element)[0]!==this.element[0]&&this.accept.call(this.element[0],e.currentItem||e.element)&&(this._removeHoverClass(),this._trigger("out",t,this.ui(e)))},_drop:function(e,t){var i=t||V.ui.ddmanager.current,s=!1;return!(!i||(i.currentItem||i.element)[0]===this.element[0])&&(this.element.find(":data(ui-droppable)").not(".ui-draggable-dragging").each(function(){var t=V(this).droppable("instance");if(t.options.greedy&&!t.options.disabled&&t.options.scope===i.options.scope&&t.accept.call(t.element[0],i.currentItem||i.element)&&V.ui.intersect(i,V.extend(t,{offset:t.element.offset()}),t.options.tolerance,e))return!(s=!0)}),!s&&(!!this.accept.call(this.element[0],i.currentItem||i.element)&&(this._removeActiveClass(),this._removeHoverClass(),this._trigger("drop",e,this.ui(i)),this.element)))},ui:function(t){return{draggable:t.currentItem||t.element,helper:t.helper,position:t.position,offset:t.positionAbs}},_addHoverClass:function(){this._addClass("ui-droppable-hover")},_removeHoverClass:function(){this._removeClass("ui-droppable-hover")},_addActiveClass:function(){this._addClass("ui-droppable-active")},_removeActiveClass:function(){this._removeClass("ui-droppable-active")}}),V.ui.intersect=function(t,e,i,s){if(!e.offset)return!1;var n=(t.positionAbs||t.position.absolute).left+t.margins.left,o=(t.positionAbs||t.position.absolute).top+t.margins.top,a=n+t.helperProportions.width,r=o+t.helperProportions.height,l=e.offset.left,h=e.offset.top,c=l+e.proportions().width,u=h+e.proportions().height;switch(i){case"fit":return l<=n&&a<=c&&h<=o&&r<=u;case"intersect":return l<n+t.helperProportions.width/2&&a-t.helperProportions.width/2<c&&h<o+t.helperProportions.height/2&&r-t.helperProportions.height/2<u;case"pointer":return lt(s.pageY,h,e.proportions().height)&&lt(s.pageX,l,e.proportions().width);case"touch":return(h<=o&&o<=u||h<=r&&r<=u||o<h&&u<r)&&(l<=n&&n<=c||l<=a&&a<=c||n<l&&c<a);default:return!1}},!(V.ui.ddmanager={current:null,droppables:{default:[]},prepareOffsets:function(t,e){var i,s,n=V.ui.ddmanager.droppables[t.options.scope]||[],o=e?e.type:null,a=(t.currentItem||t.element).find(":data(ui-droppable)").addBack();t:for(i=0;i<n.length;i++)if(!(n[i].options.disabled||t&&!n[i].accept.call(n[i].element[0],t.currentItem||t.element))){for(s=0;s<a.length;s++)if(a[s]===n[i].element[0]){n[i].proportions().height=0;continue t}n[i].visible="none"!==n[i].element.css("display"),n[i].visible&&("mousedown"===o&&n[i]._activate.call(n[i],e),n[i].offset=n[i].element.offset(),n[i].proportions({width:n[i].element[0].offsetWidth,height:n[i].element[0].offsetHeight}))}},drop:function(t,e){var i=!1;return V.each((V.ui.ddmanager.droppables[t.options.scope]||[]).slice(),function(){this.options&&(!this.options.disabled&&this.visible&&V.ui.intersect(t,this,this.options.tolerance,e)&&(i=this._drop.call(this,e)||i),!this.options.disabled&&this.visible&&this.accept.call(this.element[0],t.currentItem||t.element)&&(this.isout=!0,this.isover=!1,this._deactivate.call(this,e)))}),i},dragStart:function(t,e){t.element.parentsUntil("body").on("scroll.droppable",function(){t.options.refreshPositions||V.ui.ddmanager.prepareOffsets(t,e)})},drag:function(n,o){n.options.refreshPositions&&V.ui.ddmanager.prepareOffsets(n,o),V.each(V.ui.ddmanager.droppables[n.options.scope]||[],function(){var t,e,i,s;this.options.disabled||this.greedyChild||!this.visible||(s=!(i=V.ui.intersect(n,this,this.options.tolerance,o))&&this.isover?"isout":i&&!this.isover?"isover":null)&&(this.options.greedy&&(e=this.options.scope,(i=this.element.parents(":data(ui-droppable)").filter(function(){return V(this).droppable("instance").options.scope===e})).length&&((t=V(i[0]).droppable("instance")).greedyChild="isover"===s)),t&&"isover"===s&&(t.isover=!1,t.isout=!0,t._out.call(t,o)),this[s]=!0,this["isout"===s?"isover":"isout"]=!1,this["isover"===s?"_over":"_out"].call(this,o),t&&"isout"===s&&(t.isout=!1,t.isover=!0,t._over.call(t,o)))})},dragStop:function(t,e){t.element.parentsUntil("body").off("scroll.droppable"),t.options.refreshPositions||V.ui.ddmanager.prepareOffsets(t,e)}})!==V.uiBackCompat&&V.widget("ui.droppable",V.ui.droppable,{options:{hoverClass:!1,activeClass:!1},_addActiveClass:function(){this._super(),this.options.activeClass&&this.element.addClass(this.options.activeClass)},_removeActiveClass:function(){this._super(),this.options.activeClass&&this.element.removeClass(this.options.activeClass)},_addHoverClass:function(){this._super(),this.options.hoverClass&&this.element.addClass(this.options.hoverClass)},_removeHoverClass:function(){this._super(),this.options.hoverClass&&this.element.removeClass(this.options.hoverClass)}});V.ui.droppable,V.widget("ui.progressbar",{version:"1.13.2",options:{classes:{"ui-progressbar":"ui-corner-all","ui-progressbar-value":"ui-corner-left","ui-progressbar-complete":"ui-corner-right"},max:100,value:0,change:null,complete:null},min:0,_create:function(){this.oldValue=this.options.value=this._constrainedValue(),this.element.attr({role:"progressbar","aria-valuemin":this.min}),this._addClass("ui-progressbar","ui-widget ui-widget-content"),this.valueDiv=V("<div>").appendTo(this.element),this._addClass(this.valueDiv,"ui-progressbar-value","ui-widget-header"),this._refreshValue()},_destroy:function(){this.element.removeAttr("role aria-valuemin aria-valuemax aria-valuenow"),this.valueDiv.remove()},value:function(t){if(void 0===t)return this.options.value;this.options.value=this._constrainedValue(t),this._refreshValue()},_constrainedValue:function(t){return void 0===t&&(t=this.options.value),this.indeterminate=!1===t,"number"!=typeof t&&(t=0),!this.indeterminate&&Math.min(this.options.max,Math.max(this.min,t))},_setOptions:function(t){var e=t.value;delete t.value,this._super(t),this.options.value=this._constrainedValue(e),this._refreshValue()},_setOption:function(t,e){"max"===t&&(e=Math.max(this.min,e)),this._super(t,e)},_setOptionDisabled:function(t){this._super(t),this.element.attr("aria-disabled",t),this._toggleClass(null,"ui-state-disabled",!!t)},_percentage:function(){return this.indeterminate?100:100*(this.options.value-this.min)/(this.options.max-this.min)},_refreshValue:function(){var t=this.options.value,e=this._percentage();this.valueDiv.toggle(this.indeterminate||t>this.min).width(e.toFixed(0)+"%"),this._toggleClass(this.valueDiv,"ui-progressbar-complete",null,t===this.options.max)._toggleClass("ui-progressbar-indeterminate",null,this.indeterminate),this.indeterminate?(this.element.removeAttr("aria-valuenow"),this.overlayDiv||(this.overlayDiv=V("<div>").appendTo(this.valueDiv),this._addClass(this.overlayDiv,"ui-progressbar-overlay"))):(this.element.attr({"aria-valuemax":this.options.max,"aria-valuenow":t}),this.overlayDiv&&(this.overlayDiv.remove(),this.overlayDiv=null)),this.oldValue!==t&&(this.oldValue=t,this._trigger("change")),t===this.options.max&&this._trigger("complete")}}),V.widget("ui.selectable",V.ui.mouse,{version:"1.13.2",options:{appendTo:"body",autoRefresh:!0,distance:0,filter:"*",tolerance:"touch",selected:null,selecting:null,start:null,stop:null,unselected:null,unselecting:null},_create:function(){var i=this;this._addClass("ui-selectable"),this.dragged=!1,this.refresh=function(){i.elementPos=V(i.element[0]).offset(),i.selectees=V(i.options.filter,i.element[0]),i._addClass(i.selectees,"ui-selectee"),i.selectees.each(function(){var t=V(this),e=t.offset(),e={left:e.left-i.elementPos.left,top:e.top-i.elementPos.top};V.data(this,"selectable-item",{element:this,$element:t,left:e.left,top:e.top,right:e.left+t.outerWidth(),bottom:e.top+t.outerHeight(),startselected:!1,selected:t.hasClass("ui-selected"),selecting:t.hasClass("ui-selecting"),unselecting:t.hasClass("ui-unselecting")})})},this.refresh(),this._mouseInit(),this.helper=V("<div>"),this._addClass(this.helper,"ui-selectable-helper")},_destroy:function(){this.selectees.removeData("selectable-item"),this._mouseDestroy()},_mouseStart:function(i){var s=this,t=this.options;this.opos=[i.pageX,i.pageY],this.elementPos=V(this.element[0]).offset(),this.options.disabled||(this.selectees=V(t.filter,this.element[0]),this._trigger("start",i),V(t.appendTo).append(this.helper),this.helper.css({left:i.pageX,top:i.pageY,width:0,height:0}),t.autoRefresh&&this.refresh(),this.selectees.filter(".ui-selected").each(function(){var t=V.data(this,"selectable-item");t.startselected=!0,i.metaKey||i.ctrlKey||(s._removeClass(t.$element,"ui-selected"),t.selected=!1,s._addClass(t.$element,"ui-unselecting"),t.unselecting=!0,s._trigger("unselecting",i,{unselecting:t.element}))}),V(i.target).parents().addBack().each(function(){var t,e=V.data(this,"selectable-item");if(e)return t=!i.metaKey&&!i.ctrlKey||!e.$element.hasClass("ui-selected"),s._removeClass(e.$element,t?"ui-unselecting":"ui-selected")._addClass(e.$element,t?"ui-selecting":"ui-unselecting"),e.unselecting=!t,e.selecting=t,(e.selected=t)?s._trigger("selecting",i,{selecting:e.element}):s._trigger("unselecting",i,{unselecting:e.element}),!1}))},_mouseDrag:function(s){if(this.dragged=!0,!this.options.disabled){var t,n=this,o=this.options,a=this.opos[0],r=this.opos[1],l=s.pageX,h=s.pageY;return l<a&&(t=l,l=a,a=t),h<r&&(t=h,h=r,r=t),this.helper.css({left:a,top:r,width:l-a,height:h-r}),this.selectees.each(function(){var t=V.data(this,"selectable-item"),e=!1,i={};t&&t.element!==n.element[0]&&(i.left=t.left+n.elementPos.left,i.right=t.right+n.elementPos.left,i.top=t.top+n.elementPos.top,i.bottom=t.bottom+n.elementPos.top,"touch"===o.tolerance?e=!(i.left>l||i.right<a||i.top>h||i.bottom<r):"fit"===o.tolerance&&(e=i.left>a&&i.right<l&&i.top>r&&i.bottom<h),e?(t.selected&&(n._removeClass(t.$element,"ui-selected"),t.selected=!1),t.unselecting&&(n._removeClass(t.$element,"ui-unselecting"),t.unselecting=!1),t.selecting||(n._addClass(t.$element,"ui-selecting"),t.selecting=!0,n._trigger("selecting",s,{selecting:t.element}))):(t.selecting&&((s.metaKey||s.ctrlKey)&&t.startselected?(n._removeClass(t.$element,"ui-selecting"),t.selecting=!1,n._addClass(t.$element,"ui-selected"),t.selected=!0):(n._removeClass(t.$element,"ui-selecting"),t.selecting=!1,t.startselected&&(n._addClass(t.$element,"ui-unselecting"),t.unselecting=!0),n._trigger("unselecting",s,{unselecting:t.element}))),t.selected&&(s.metaKey||s.ctrlKey||t.startselected||(n._removeClass(t.$element,"ui-selected"),t.selected=!1,n._addClass(t.$element,"ui-unselecting"),t.unselecting=!0,n._trigger("unselecting",s,{unselecting:t.element})))))}),!1}},_mouseStop:function(e){var i=this;return this.dragged=!1,V(".ui-unselecting",this.element[0]).each(function(){var t=V.data(this,"selectable-item");i._removeClass(t.$element,"ui-unselecting"),t.unselecting=!1,t.startselected=!1,i._trigger("unselected",e,{unselected:t.element})}),V(".ui-selecting",this.element[0]).each(function(){var t=V.data(this,"selectable-item");i._removeClass(t.$element,"ui-selecting")._addClass(t.$element,"ui-selected"),t.selecting=!1,t.selected=!0,t.startselected=!0,i._trigger("selected",e,{selected:t.element})}),this._trigger("stop",e),this.helper.remove(),!1}}),V.widget("ui.selectmenu",[V.ui.formResetMixin,{version:"1.13.2",defaultElement:"<select>",options:{appendTo:null,classes:{"ui-selectmenu-button-open":"ui-corner-top","ui-selectmenu-button-closed":"ui-corner-all"},disabled:null,icons:{button:"ui-icon-triangle-1-s"},position:{my:"left top",at:"left bottom",collision:"none"},width:!1,change:null,close:null,focus:null,open:null,select:null},_create:function(){var t=this.element.uniqueId().attr("id");this.ids={element:t,button:t+"-button",menu:t+"-menu"},this._drawButton(),this._drawMenu(),this._bindFormResetHandler(),this._rendered=!1,this.menuItems=V()},_drawButton:function(){var t,e=this,i=this._parseOption(this.element.find("option:selected"),this.element[0].selectedIndex);this.labels=this.element.labels().attr("for",this.ids.button),this._on(this.labels,{click:function(t){this.button.trigger("focus"),t.preventDefault()}}),this.element.hide(),this.button=V("<span>",{tabindex:this.options.disabled?-1:0,id:this.ids.button,role:"combobox","aria-expanded":"false","aria-autocomplete":"list","aria-owns":this.ids.menu,"aria-haspopup":"true",title:this.element.attr("title")}).insertAfter(this.element),this._addClass(this.button,"ui-selectmenu-button ui-selectmenu-button-closed","ui-button ui-widget"),t=V("<span>").appendTo(this.button),this._addClass(t,"ui-selectmenu-icon","ui-icon "+this.options.icons.button),this.buttonItem=this._renderButtonItem(i).appendTo(this.button),!1!==this.options.width&&this._resizeButton(),this._on(this.button,this._buttonEvents),this.button.one("focusin",function(){e._rendered||e._refreshMenu()})},_drawMenu:function(){var i=this;this.menu=V("<ul>",{"aria-hidden":"true","aria-labelledby":this.ids.button,id:this.ids.menu}),this.menuWrap=V("<div>").append(this.menu),this._addClass(this.menuWrap,"ui-selectmenu-menu","ui-front"),this.menuWrap.appendTo(this._appendTo()),this.menuInstance=this.menu.menu({classes:{"ui-menu":"ui-corner-bottom"},role:"listbox",select:function(t,e){t.preventDefault(),i._setSelection(),i._select(e.item.data("ui-selectmenu-item"),t)},focus:function(t,e){e=e.item.data("ui-selectmenu-item");null!=i.focusIndex&&e.index!==i.focusIndex&&(i._trigger("focus",t,{item:e}),i.isOpen||i._select(e,t)),i.focusIndex=e.index,i.button.attr("aria-activedescendant",i.menuItems.eq(e.index).attr("id"))}}).menu("instance"),this.menuInstance._off(this.menu,"mouseleave"),this.menuInstance._closeOnDocumentClick=function(){return!1},this.menuInstance._isDivider=function(){return!1}},refresh:function(){this._refreshMenu(),this.buttonItem.replaceWith(this.buttonItem=this._renderButtonItem(this._getSelectedItem().data("ui-selectmenu-item")||{})),null===this.options.width&&this._resizeButton()},_refreshMenu:function(){var t=this.element.find("option");this.menu.empty(),this._parseOptions(t),this._renderMenu(this.menu,this.items),this.menuInstance.refresh(),this.menuItems=this.menu.find("li").not(".ui-selectmenu-optgroup").find(".ui-menu-item-wrapper"),this._rendered=!0,t.length&&(t=this._getSelectedItem(),this.menuInstance.focus(null,t),this._setAria(t.data("ui-selectmenu-item")),this._setOption("disabled",this.element.prop("disabled")))},open:function(t){this.options.disabled||(this._rendered?(this._removeClass(this.menu.find(".ui-state-active"),null,"ui-state-active"),this.menuInstance.focus(null,this._getSelectedItem())):this._refreshMenu(),this.menuItems.length&&(this.isOpen=!0,this._toggleAttr(),this._resizeMenu(),this._position(),this._on(this.document,this._documentClick),this._trigger("open",t)))},_position:function(){this.menuWrap.position(V.extend({of:this.button},this.options.position))},close:function(t){this.isOpen&&(this.isOpen=!1,this._toggleAttr(),this.range=null,this._off(this.document),this._trigger("close",t))},widget:function(){return this.button},menuWidget:function(){return this.menu},_renderButtonItem:function(t){var e=V("<span>");return this._setText(e,t.label),this._addClass(e,"ui-selectmenu-text"),e},_renderMenu:function(s,t){var n=this,o="";V.each(t,function(t,e){var i;e.optgroup!==o&&(i=V("<li>",{text:e.optgroup}),n._addClass(i,"ui-selectmenu-optgroup","ui-menu-divider"+(e.element.parent("optgroup").prop("disabled")?" ui-state-disabled":"")),i.appendTo(s),o=e.optgroup),n._renderItemData(s,e)})},_renderItemData:function(t,e){return this._renderItem(t,e).data("ui-selectmenu-item",e)},_renderItem:function(t,e){var i=V("<li>"),s=V("<div>",{title:e.element.attr("title")});return e.disabled&&this._addClass(i,null,"ui-state-disabled"),this._setText(s,e.label),i.append(s).appendTo(t)},_setText:function(t,e){e?t.text(e):t.html("&#160;")},_move:function(t,e){var i,s=".ui-menu-item";this.isOpen?i=this.menuItems.eq(this.focusIndex).parent("li"):(i=this.menuItems.eq(this.element[0].selectedIndex).parent("li"),s+=":not(.ui-state-disabled)"),(s="first"===t||"last"===t?i["first"===t?"prevAll":"nextAll"](s).eq(-1):i[t+"All"](s).eq(0)).length&&this.menuInstance.focus(e,s)},_getSelectedItem:function(){return this.menuItems.eq(this.element[0].selectedIndex).parent("li")},_toggle:function(t){this[this.isOpen?"close":"open"](t)},_setSelection:function(){var t;this.range&&(window.getSelection?((t=window.getSelection()).removeAllRanges(),t.addRange(this.range)):this.range.select(),this.button.trigger("focus"))},_documentClick:{mousedown:function(t){this.isOpen&&(V(t.target).closest(".ui-selectmenu-menu, #"+V.escapeSelector(this.ids.button)).length||this.close(t))}},_buttonEvents:{mousedown:function(){var t;window.getSelection?(t=window.getSelection()).rangeCount&&(this.range=t.getRangeAt(0)):this.range=document.selection.createRange()},click:function(t){this._setSelection(),this._toggle(t)},keydown:function(t){var e=!0;switch(t.keyCode){case V.ui.keyCode.TAB:case V.ui.keyCode.ESCAPE:this.close(t),e=!1;break;case V.ui.keyCode.ENTER:this.isOpen&&this._selectFocusedItem(t);break;case V.ui.keyCode.UP:t.altKey?this._toggle(t):this._move("prev",t);break;case V.ui.keyCode.DOWN:t.altKey?this._toggle(t):this._move("next",t);break;case V.ui.keyCode.SPACE:this.isOpen?this._selectFocusedItem(t):this._toggle(t);break;case V.ui.keyCode.LEFT:this._move("prev",t);break;case V.ui.keyCode.RIGHT:this._move("next",t);break;case V.ui.keyCode.HOME:case V.ui.keyCode.PAGE_UP:this._move("first",t);break;case V.ui.keyCode.END:case V.ui.keyCode.PAGE_DOWN:this._move("last",t);break;default:this.menu.trigger(t),e=!1}e&&t.preventDefault()}},_selectFocusedItem:function(t){var e=this.menuItems.eq(this.focusIndex).parent("li");e.hasClass("ui-state-disabled")||this._select(e.data("ui-selectmenu-item"),t)},_select:function(t,e){var i=this.element[0].selectedIndex;this.element[0].selectedIndex=t.index,this.buttonItem.replaceWith(this.buttonItem=this._renderButtonItem(t)),this._setAria(t),this._trigger("select",e,{item:t}),t.index!==i&&this._trigger("change",e,{item:t}),this.close(e)},_setAria:function(t){t=this.menuItems.eq(t.index).attr("id");this.button.attr({"aria-labelledby":t,"aria-activedescendant":t}),this.menu.attr("aria-activedescendant",t)},_setOption:function(t,e){var i;"icons"===t&&(i=this.button.find("span.ui-icon"),this._removeClass(i,null,this.options.icons.button)._addClass(i,null,e.button)),this._super(t,e),"appendTo"===t&&this.menuWrap.appendTo(this._appendTo()),"width"===t&&this._resizeButton()},_setOptionDisabled:function(t){this._super(t),this.menuInstance.option("disabled",t),this.button.attr("aria-disabled",t),this._toggleClass(this.button,null,"ui-state-disabled",t),this.element.prop("disabled",t),t?(this.button.attr("tabindex",-1),this.close()):this.button.attr("tabindex",0)},_appendTo:function(){var t=this.options.appendTo;return t=!(t=!(t=t&&(t.jquery||t.nodeType?V(t):this.document.find(t).eq(0)))||!t[0]?this.element.closest(".ui-front, dialog"):t).length?this.document[0].body:t},_toggleAttr:function(){this.button.attr("aria-expanded",this.isOpen),this._removeClass(this.button,"ui-selectmenu-button-"+(this.isOpen?"closed":"open"))._addClass(this.button,"ui-selectmenu-button-"+(this.isOpen?"open":"closed"))._toggleClass(this.menuWrap,"ui-selectmenu-open",null,this.isOpen),this.menu.attr("aria-hidden",!this.isOpen)},_resizeButton:function(){var t=this.options.width;!1!==t?(null===t&&(t=this.element.show().outerWidth(),this.element.hide()),this.button.outerWidth(t)):this.button.css("width","")},_resizeMenu:function(){this.menu.outerWidth(Math.max(this.button.outerWidth(),this.menu.width("").outerWidth()+1))},_getCreateOptions:function(){var t=this._super();return t.disabled=this.element.prop("disabled"),t},_parseOptions:function(t){var i=this,s=[];t.each(function(t,e){e.hidden||s.push(i._parseOption(V(e),t))}),this.items=s},_parseOption:function(t,e){var i=t.parent("optgroup");return{element:t,index:e,value:t.val(),label:t.text(),optgroup:i.attr("label")||"",disabled:i.prop("disabled")||t.prop("disabled")}},_destroy:function(){this._unbindFormResetHandler(),this.menuWrap.remove(),this.button.remove(),this.element.show(),this.element.removeUniqueId(),this.labels.attr("for",this.ids.element)}}]),V.widget("ui.slider",V.ui.mouse,{version:"1.13.2",widgetEventPrefix:"slide",options:{animate:!1,classes:{"ui-slider":"ui-corner-all","ui-slider-handle":"ui-corner-all","ui-slider-range":"ui-corner-all ui-widget-header"},distance:0,max:100,min:0,orientation:"horizontal",range:!1,step:1,value:0,values:null,change:null,slide:null,start:null,stop:null},numPages:5,_create:function(){this._keySliding=!1,this._mouseSliding=!1,this._animateOff=!0,this._handleIndex=null,this._detectOrientation(),this._mouseInit(),this._calculateNewMax(),this._addClass("ui-slider ui-slider-"+this.orientation,"ui-widget ui-widget-content"),this._refresh(),this._animateOff=!1},_refresh:function(){this._createRange(),this._createHandles(),this._setupEvents(),this._refreshValue()},_createHandles:function(){var t,e=this.options,i=this.element.find(".ui-slider-handle"),s=[],n=e.values&&e.values.length||1;for(i.length>n&&(i.slice(n).remove(),i=i.slice(0,n)),t=i.length;t<n;t++)s.push("<span tabindex='0'></span>");this.handles=i.add(V(s.join("")).appendTo(this.element)),this._addClass(this.handles,"ui-slider-handle","ui-state-default"),this.handle=this.handles.eq(0),this.handles.each(function(t){V(this).data("ui-slider-handle-index",t).attr("tabIndex",0)})},_createRange:function(){var t=this.options;t.range?(!0===t.range&&(t.values?t.values.length&&2!==t.values.length?t.values=[t.values[0],t.values[0]]:Array.isArray(t.values)&&(t.values=t.values.slice(0)):t.values=[this._valueMin(),this._valueMin()]),this.range&&this.range.length?(this._removeClass(this.range,"ui-slider-range-min ui-slider-range-max"),this.range.css({left:"",bottom:""})):(this.range=V("<div>").appendTo(this.element),this._addClass(this.range,"ui-slider-range")),"min"!==t.range&&"max"!==t.range||this._addClass(this.range,"ui-slider-range-"+t.range)):(this.range&&this.range.remove(),this.range=null)},_setupEvents:function(){this._off(this.handles),this._on(this.handles,this._handleEvents),this._hoverable(this.handles),this._focusable(this.handles)},_destroy:function(){this.handles.remove(),this.range&&this.range.remove(),this._mouseDestroy()},_mouseCapture:function(t){var i,s,n,o,e,a,r=this,l=this.options;return!l.disabled&&(this.elementSize={width:this.element.outerWidth(),height:this.element.outerHeight()},this.elementOffset=this.element.offset(),a={x:t.pageX,y:t.pageY},i=this._normValueFromMouse(a),s=this._valueMax()-this._valueMin()+1,this.handles.each(function(t){var e=Math.abs(i-r.values(t));(e<s||s===e&&(t===r._lastChangedValue||r.values(t)===l.min))&&(s=e,n=V(this),o=t)}),!1!==this._start(t,o)&&(this._mouseSliding=!0,this._handleIndex=o,this._addClass(n,null,"ui-state-active"),n.trigger("focus"),e=n.offset(),a=!V(t.target).parents().addBack().is(".ui-slider-handle"),this._clickOffset=a?{left:0,top:0}:{left:t.pageX-e.left-n.width()/2,top:t.pageY-e.top-n.height()/2-(parseInt(n.css("borderTopWidth"),10)||0)-(parseInt(n.css("borderBottomWidth"),10)||0)+(parseInt(n.css("marginTop"),10)||0)},this.handles.hasClass("ui-state-hover")||this._slide(t,o,i),this._animateOff=!0))},_mouseStart:function(){return!0},_mouseDrag:function(t){var e={x:t.pageX,y:t.pageY},e=this._normValueFromMouse(e);return this._slide(t,this._handleIndex,e),!1},_mouseStop:function(t){return this._removeClass(this.handles,null,"ui-state-active"),this._mouseSliding=!1,this._stop(t,this._handleIndex),this._change(t,this._handleIndex),this._handleIndex=null,this._clickOffset=null,this._animateOff=!1},_detectOrientation:function(){this.orientation="vertical"===this.options.orientation?"vertical":"horizontal"},_normValueFromMouse:function(t){var e,t="horizontal"===this.orientation?(e=this.elementSize.width,t.x-this.elementOffset.left-(this._clickOffset?this._clickOffset.left:0)):(e=this.elementSize.height,t.y-this.elementOffset.top-(this._clickOffset?this._clickOffset.top:0)),t=t/e;return(t=1<t?1:t)<0&&(t=0),"vertical"===this.orientation&&(t=1-t),e=this._valueMax()-this._valueMin(),e=this._valueMin()+t*e,this._trimAlignValue(e)},_uiHash:function(t,e,i){var s={handle:this.handles[t],handleIndex:t,value:void 0!==e?e:this.value()};return this._hasMultipleValues()&&(s.value=void 0!==e?e:this.values(t),s.values=i||this.values()),s},_hasMultipleValues:function(){return this.options.values&&this.options.values.length},_start:function(t,e){return this._trigger("start",t,this._uiHash(e))},_slide:function(t,e,i){var s,n=this.value(),o=this.values();this._hasMultipleValues()&&(s=this.values(e?0:1),n=this.values(e),2===this.options.values.length&&!0===this.options.range&&(i=0===e?Math.min(s,i):Math.max(s,i)),o[e]=i),i!==n&&!1!==this._trigger("slide",t,this._uiHash(e,i,o))&&(this._hasMultipleValues()?this.values(e,i):this.value(i))},_stop:function(t,e){this._trigger("stop",t,this._uiHash(e))},_change:function(t,e){this._keySliding||this._mouseSliding||(this._lastChangedValue=e,this._trigger("change",t,this._uiHash(e)))},value:function(t){return arguments.length?(this.options.value=this._trimAlignValue(t),this._refreshValue(),void this._change(null,0)):this._value()},values:function(t,e){var i,s,n;if(1<arguments.length)return this.options.values[t]=this._trimAlignValue(e),this._refreshValue(),void this._change(null,t);if(!arguments.length)return this._values();if(!Array.isArray(t))return this._hasMultipleValues()?this._values(t):this.value();for(i=this.options.values,s=t,n=0;n<i.length;n+=1)i[n]=this._trimAlignValue(s[n]),this._change(null,n);this._refreshValue()},_setOption:function(t,e){var i,s=0;switch("range"===t&&!0===this.options.range&&("min"===e?(this.options.value=this._values(0),this.options.values=null):"max"===e&&(this.options.value=this._values(this.options.values.length-1),this.options.values=null)),Array.isArray(this.options.values)&&(s=this.options.values.length),this._super(t,e),t){case"orientation":this._detectOrientation(),this._removeClass("ui-slider-horizontal ui-slider-vertical")._addClass("ui-slider-"+this.orientation),this._refreshValue(),this.options.range&&this._refreshRange(e),this.handles.css("horizontal"===e?"bottom":"left","");break;case"value":this._animateOff=!0,this._refreshValue(),this._change(null,0),this._animateOff=!1;break;case"values":for(this._animateOff=!0,this._refreshValue(),i=s-1;0<=i;i--)this._change(null,i);this._animateOff=!1;break;case"step":case"min":case"max":this._animateOff=!0,this._calculateNewMax(),this._refreshValue(),this._animateOff=!1;break;case"range":this._animateOff=!0,this._refresh(),this._animateOff=!1}},_setOptionDisabled:function(t){this._super(t),this._toggleClass(null,"ui-state-disabled",!!t)},_value:function(){var t=this.options.value;return t=this._trimAlignValue(t)},_values:function(t){var e,i;if(arguments.length)return t=this.options.values[t],t=this._trimAlignValue(t);if(this._hasMultipleValues()){for(e=this.options.values.slice(),i=0;i<e.length;i+=1)e[i]=this._trimAlignValue(e[i]);return e}return[]},_trimAlignValue:function(t){if(t<=this._valueMin())return this._valueMin();if(t>=this._valueMax())return this._valueMax();var e=0<this.options.step?this.options.step:1,i=(t-this._valueMin())%e,t=t-i;return 2*Math.abs(i)>=e&&(t+=0<i?e:-e),parseFloat(t.toFixed(5))},_calculateNewMax:function(){var t=this.options.max,e=this._valueMin(),i=this.options.step;(t=Math.round((t-e)/i)*i+e)>this.options.max&&(t-=i),this.max=parseFloat(t.toFixed(this._precision()))},_precision:function(){var t=this._precisionOf(this.options.step);return t=null!==this.options.min?Math.max(t,this._precisionOf(this.options.min)):t},_precisionOf:function(t){var e=t.toString(),t=e.indexOf(".");return-1===t?0:e.length-t-1},_valueMin:function(){return this.options.min},_valueMax:function(){return this.max},_refreshRange:function(t){"vertical"===t&&this.range.css({width:"",left:""}),"horizontal"===t&&this.range.css({height:"",bottom:""})},_refreshValue:function(){var e,i,t,s,n,o=this.options.range,a=this.options,r=this,l=!this._animateOff&&a.animate,h={};this._hasMultipleValues()?this.handles.each(function(t){i=(r.values(t)-r._valueMin())/(r._valueMax()-r._valueMin())*100,h["horizontal"===r.orientation?"left":"bottom"]=i+"%",V(this).stop(1,1)[l?"animate":"css"](h,a.animate),!0===r.options.range&&("horizontal"===r.orientation?(0===t&&r.range.stop(1,1)[l?"animate":"css"]({left:i+"%"},a.animate),1===t&&r.range[l?"animate":"css"]({width:i-e+"%"},{queue:!1,duration:a.animate})):(0===t&&r.range.stop(1,1)[l?"animate":"css"]({bottom:i+"%"},a.animate),1===t&&r.range[l?"animate":"css"]({height:i-e+"%"},{queue:!1,duration:a.animate}))),e=i}):(t=this.value(),s=this._valueMin(),n=this._valueMax(),i=n!==s?(t-s)/(n-s)*100:0,h["horizontal"===this.orientation?"left":"bottom"]=i+"%",this.handle.stop(1,1)[l?"animate":"css"](h,a.animate),"min"===o&&"horizontal"===this.orientation&&this.range.stop(1,1)[l?"animate":"css"]({width:i+"%"},a.animate),"max"===o&&"horizontal"===this.orientation&&this.range.stop(1,1)[l?"animate":"css"]({width:100-i+"%"},a.animate),"min"===o&&"vertical"===this.orientation&&this.range.stop(1,1)[l?"animate":"css"]({height:i+"%"},a.animate),"max"===o&&"vertical"===this.orientation&&this.range.stop(1,1)[l?"animate":"css"]({height:100-i+"%"},a.animate))},_handleEvents:{keydown:function(t){var e,i,s,n=V(t.target).data("ui-slider-handle-index");switch(t.keyCode){case V.ui.keyCode.HOME:case V.ui.keyCode.END:case V.ui.keyCode.PAGE_UP:case V.ui.keyCode.PAGE_DOWN:case V.ui.keyCode.UP:case V.ui.keyCode.RIGHT:case V.ui.keyCode.DOWN:case V.ui.keyCode.LEFT:if(t.preventDefault(),!this._keySliding&&(this._keySliding=!0,this._addClass(V(t.target),null,"ui-state-active"),!1===this._start(t,n)))return}switch(s=this.options.step,e=i=this._hasMultipleValues()?this.values(n):this.value(),t.keyCode){case V.ui.keyCode.HOME:i=this._valueMin();break;case V.ui.keyCode.END:i=this._valueMax();break;case V.ui.keyCode.PAGE_UP:i=this._trimAlignValue(e+(this._valueMax()-this._valueMin())/this.numPages);break;case V.ui.keyCode.PAGE_DOWN:i=this._trimAlignValue(e-(this._valueMax()-this._valueMin())/this.numPages);break;case V.ui.keyCode.UP:case V.ui.keyCode.RIGHT:if(e===this._valueMax())return;i=this._trimAlignValue(e+s);break;case V.ui.keyCode.DOWN:case V.ui.keyCode.LEFT:if(e===this._valueMin())return;i=this._trimAlignValue(e-s)}this._slide(t,n,i)},keyup:function(t){var e=V(t.target).data("ui-slider-handle-index");this._keySliding&&(this._keySliding=!1,this._stop(t,e),this._change(t,e),this._removeClass(V(t.target),null,"ui-state-active"))}}}),V.widget("ui.sortable",V.ui.mouse,{version:"1.13.2",widgetEventPrefix:"sort",ready:!1,options:{appendTo:"parent",axis:!1,connectWith:!1,containment:!1,cursor:"auto",cursorAt:!1,dropOnEmpty:!0,forcePlaceholderSize:!1,forceHelperSize:!1,grid:!1,handle:!1,helper:"original",items:"> *",opacity:!1,placeholder:!1,revert:!1,scroll:!0,scrollSensitivity:20,scrollSpeed:20,scope:"default",tolerance:"intersect",zIndex:1e3,activate:null,beforeStop:null,change:null,deactivate:null,out:null,over:null,receive:null,remove:null,sort:null,start:null,stop:null,update:null},_isOverAxis:function(t,e,i){return e<=t&&t<e+i},_isFloating:function(t){return/left|right/.test(t.css("float"))||/inline|table-cell/.test(t.css("display"))},_create:function(){this.containerCache={},this._addClass("ui-sortable"),this.refresh(),this.offset=this.element.offset(),this._mouseInit(),this._setHandleClassName(),this.ready=!0},_setOption:function(t,e){this._super(t,e),"handle"===t&&this._setHandleClassName()},_setHandleClassName:function(){var t=this;this._removeClass(this.element.find(".ui-sortable-handle"),"ui-sortable-handle"),V.each(this.items,function(){t._addClass(this.instance.options.handle?this.item.find(this.instance.options.handle):this.item,"ui-sortable-handle")})},_destroy:function(){this._mouseDestroy();for(var t=this.items.length-1;0<=t;t--)this.items[t].item.removeData(this.widgetName+"-item");return this},_mouseCapture:function(t,e){var i=null,s=!1,n=this;return!this.reverting&&(!this.options.disabled&&"static"!==this.options.type&&(this._refreshItems(t),V(t.target).parents().each(function(){if(V.data(this,n.widgetName+"-item")===n)return i=V(this),!1}),!!(i=V.data(t.target,n.widgetName+"-item")===n?V(t.target):i)&&(!(this.options.handle&&!e&&(V(this.options.handle,i).find("*").addBack().each(function(){this===t.target&&(s=!0)}),!s))&&(this.currentItem=i,this._removeCurrentsFromItems(),!0))))},_mouseStart:function(t,e,i){var s,n,o=this.options;if((this.currentContainer=this).refreshPositions(),this.appendTo=V("parent"!==o.appendTo?o.appendTo:this.currentItem.parent()),this.helper=this._createHelper(t),this._cacheHelperProportions(),this._cacheMargins(),this.offset=this.currentItem.offset(),this.offset={top:this.offset.top-this.margins.top,left:this.offset.left-this.margins.left},V.extend(this.offset,{click:{left:t.pageX-this.offset.left,top:t.pageY-this.offset.top},relative:this._getRelativeOffset()}),this.helper.css("position","absolute"),this.cssPosition=this.helper.css("position"),o.cursorAt&&this._adjustOffsetFromHelper(o.cursorAt),this.domPosition={prev:this.currentItem.prev()[0],parent:this.currentItem.parent()[0]},this.helper[0]!==this.currentItem[0]&&this.currentItem.hide(),this._createPlaceholder(),this.scrollParent=this.placeholder.scrollParent(),V.extend(this.offset,{parent:this._getParentOffset()}),o.containment&&this._setContainment(),o.cursor&&"auto"!==o.cursor&&(n=this.document.find("body"),this.storedCursor=n.css("cursor"),n.css("cursor",o.cursor),this.storedStylesheet=V("<style>*{ cursor: "+o.cursor+" !important; }</style>").appendTo(n)),o.zIndex&&(this.helper.css("zIndex")&&(this._storedZIndex=this.helper.css("zIndex")),this.helper.css("zIndex",o.zIndex)),o.opacity&&(this.helper.css("opacity")&&(this._storedOpacity=this.helper.css("opacity")),this.helper.css("opacity",o.opacity)),this.scrollParent[0]!==this.document[0]&&"HTML"!==this.scrollParent[0].tagName&&(this.overflowOffset=this.scrollParent.offset()),this._trigger("start",t,this._uiHash()),this._preserveHelperProportions||this._cacheHelperProportions(),!i)for(s=this.containers.length-1;0<=s;s--)this.containers[s]._trigger("activate",t,this._uiHash(this));return V.ui.ddmanager&&(V.ui.ddmanager.current=this),V.ui.ddmanager&&!o.dropBehaviour&&V.ui.ddmanager.prepareOffsets(this,t),this.dragging=!0,this._addClass(this.helper,"ui-sortable-helper"),this.helper.parent().is(this.appendTo)||(this.helper.detach().appendTo(this.appendTo),this.offset.parent=this._getParentOffset()),this.position=this.originalPosition=this._generatePosition(t),this.originalPageX=t.pageX,this.originalPageY=t.pageY,this.lastPositionAbs=this.positionAbs=this._convertPositionTo("absolute"),this._mouseDrag(t),!0},_scroll:function(t){var e=this.options,i=!1;return this.scrollParent[0]!==this.document[0]&&"HTML"!==this.scrollParent[0].tagName?(this.overflowOffset.top+this.scrollParent[0].offsetHeight-t.pageY<e.scrollSensitivity?this.scrollParent[0].scrollTop=i=this.scrollParent[0].scrollTop+e.scrollSpeed:t.pageY-this.overflowOffset.top<e.scrollSensitivity&&(this.scrollParent[0].scrollTop=i=this.scrollParent[0].scrollTop-e.scrollSpeed),this.overflowOffset.left+this.scrollParent[0].offsetWidth-t.pageX<e.scrollSensitivity?this.scrollParent[0].scrollLeft=i=this.scrollParent[0].scrollLeft+e.scrollSpeed:t.pageX-this.overflowOffset.left<e.scrollSensitivity&&(this.scrollParent[0].scrollLeft=i=this.scrollParent[0].scrollLeft-e.scrollSpeed)):(t.pageY-this.document.scrollTop()<e.scrollSensitivity?i=this.document.scrollTop(this.document.scrollTop()-e.scrollSpeed):this.window.height()-(t.pageY-this.document.scrollTop())<e.scrollSensitivity&&(i=this.document.scrollTop(this.document.scrollTop()+e.scrollSpeed)),t.pageX-this.document.scrollLeft()<e.scrollSensitivity?i=this.document.scrollLeft(this.document.scrollLeft()-e.scrollSpeed):this.window.width()-(t.pageX-this.document.scrollLeft())<e.scrollSensitivity&&(i=this.document.scrollLeft(this.document.scrollLeft()+e.scrollSpeed))),i},_mouseDrag:function(t){var e,i,s,n,o=this.options;for(this.position=this._generatePosition(t),this.positionAbs=this._convertPositionTo("absolute"),this.options.axis&&"y"===this.options.axis||(this.helper[0].style.left=this.position.left+"px"),this.options.axis&&"x"===this.options.axis||(this.helper[0].style.top=this.position.top+"px"),o.scroll&&!1!==this._scroll(t)&&(this._refreshItemPositions(!0),V.ui.ddmanager&&!o.dropBehaviour&&V.ui.ddmanager.prepareOffsets(this,t)),this.dragDirection={vertical:this._getDragVerticalDirection(),horizontal:this._getDragHorizontalDirection()},e=this.items.length-1;0<=e;e--)if(s=(i=this.items[e]).item[0],(n=this._intersectsWithPointer(i))&&i.instance===this.currentContainer&&!(s===this.currentItem[0]||this.placeholder[1===n?"next":"prev"]()[0]===s||V.contains(this.placeholder[0],s)||"semi-dynamic"===this.options.type&&V.contains(this.element[0],s))){if(this.direction=1===n?"down":"up","pointer"!==this.options.tolerance&&!this._intersectsWithSides(i))break;this._rearrange(t,i),this._trigger("change",t,this._uiHash());break}return this._contactContainers(t),V.ui.ddmanager&&V.ui.ddmanager.drag(this,t),this._trigger("sort",t,this._uiHash()),this.lastPositionAbs=this.positionAbs,!1},_mouseStop:function(t,e){var i,s,n,o;if(t)return V.ui.ddmanager&&!this.options.dropBehaviour&&V.ui.ddmanager.drop(this,t),this.options.revert?(s=(i=this).placeholder.offset(),o={},(n=this.options.axis)&&"x"!==n||(o.left=s.left-this.offset.parent.left-this.margins.left+(this.offsetParent[0]===this.document[0].body?0:this.offsetParent[0].scrollLeft)),n&&"y"!==n||(o.top=s.top-this.offset.parent.top-this.margins.top+(this.offsetParent[0]===this.document[0].body?0:this.offsetParent[0].scrollTop)),this.reverting=!0,V(this.helper).animate(o,parseInt(this.options.revert,10)||500,function(){i._clear(t)})):this._clear(t,e),!1},cancel:function(){if(this.dragging){this._mouseUp(new V.Event("mouseup",{target:null})),"original"===this.options.helper?(this.currentItem.css(this._storedCSS),this._removeClass(this.currentItem,"ui-sortable-helper")):this.currentItem.show();for(var t=this.containers.length-1;0<=t;t--)this.containers[t]._trigger("deactivate",null,this._uiHash(this)),this.containers[t].containerCache.over&&(this.containers[t]._trigger("out",null,this._uiHash(this)),this.containers[t].containerCache.over=0)}return this.placeholder&&(this.placeholder[0].parentNode&&this.placeholder[0].parentNode.removeChild(this.placeholder[0]),"original"!==this.options.helper&&this.helper&&this.helper[0].parentNode&&this.helper.remove(),V.extend(this,{helper:null,dragging:!1,reverting:!1,_noFinalSort:null}),this.domPosition.prev?V(this.domPosition.prev).after(this.currentItem):V(this.domPosition.parent).prepend(this.currentItem)),this},serialize:function(e){var t=this._getItemsAsjQuery(e&&e.connected),i=[];return e=e||{},V(t).each(function(){var t=(V(e.item||this).attr(e.attribute||"id")||"").match(e.expression||/(.+)[\-=_](.+)/);t&&i.push((e.key||t[1]+"[]")+"="+(e.key&&e.expression?t[1]:t[2]))}),!i.length&&e.key&&i.push(e.key+"="),i.join("&")},toArray:function(t){var e=this._getItemsAsjQuery(t&&t.connected),i=[];return t=t||{},e.each(function(){i.push(V(t.item||this).attr(t.attribute||"id")||"")}),i},_intersectsWith:function(t){var e=this.positionAbs.left,i=e+this.helperProportions.width,s=this.positionAbs.top,n=s+this.helperProportions.height,o=t.left,a=o+t.width,r=t.top,l=r+t.height,h=this.offset.click.top,c=this.offset.click.left,h="x"===this.options.axis||r<s+h&&s+h<l,c="y"===this.options.axis||o<e+c&&e+c<a;return"pointer"===this.options.tolerance||this.options.forcePointerForContainers||"pointer"!==this.options.tolerance&&this.helperProportions[this.floating?"width":"height"]>t[this.floating?"width":"height"]?h&&c:o<e+this.helperProportions.width/2&&i-this.helperProportions.width/2<a&&r<s+this.helperProportions.height/2&&n-this.helperProportions.height/2<l},_intersectsWithPointer:function(t){var e="x"===this.options.axis||this._isOverAxis(this.positionAbs.top+this.offset.click.top,t.top,t.height),t="y"===this.options.axis||this._isOverAxis(this.positionAbs.left+this.offset.click.left,t.left,t.width);return!(!e||!t)&&(e=this.dragDirection.vertical,t=this.dragDirection.horizontal,this.floating?"right"===t||"down"===e?2:1:e&&("down"===e?2:1))},_intersectsWithSides:function(t){var e=this._isOverAxis(this.positionAbs.top+this.offset.click.top,t.top+t.height/2,t.height),i=this._isOverAxis(this.positionAbs.left+this.offset.click.left,t.left+t.width/2,t.width),s=this.dragDirection.vertical,t=this.dragDirection.horizontal;return this.floating&&t?"right"===t&&i||"left"===t&&!i:s&&("down"===s&&e||"up"===s&&!e)},_getDragVerticalDirection:function(){var t=this.positionAbs.top-this.lastPositionAbs.top;return 0!=t&&(0<t?"down":"up")},_getDragHorizontalDirection:function(){var t=this.positionAbs.left-this.lastPositionAbs.left;return 0!=t&&(0<t?"right":"left")},refresh:function(t){return this._refreshItems(t),this._setHandleClassName(),this.refreshPositions(),this},_connectWith:function(){var t=this.options;return t.connectWith.constructor===String?[t.connectWith]:t.connectWith},_getItemsAsjQuery:function(t){var e,i,s,n,o=[],a=[],r=this._connectWith();if(r&&t)for(e=r.length-1;0<=e;e--)for(i=(s=V(r[e],this.document[0])).length-1;0<=i;i--)(n=V.data(s[i],this.widgetFullName))&&n!==this&&!n.options.disabled&&a.push(["function"==typeof n.options.items?n.options.items.call(n.element):V(n.options.items,n.element).not(".ui-sortable-helper").not(".ui-sortable-placeholder"),n]);function l(){o.push(this)}for(a.push(["function"==typeof this.options.items?this.options.items.call(this.element,null,{options:this.options,item:this.currentItem}):V(this.options.items,this.element).not(".ui-sortable-helper").not(".ui-sortable-placeholder"),this]),e=a.length-1;0<=e;e--)a[e][0].each(l);return V(o)},_removeCurrentsFromItems:function(){var i=this.currentItem.find(":data("+this.widgetName+"-item)");this.items=V.grep(this.items,function(t){for(var e=0;e<i.length;e++)if(i[e]===t.item[0])return!1;return!0})},_refreshItems:function(t){this.items=[],this.containers=[this];var e,i,s,n,o,a,r,l,h=this.items,c=[["function"==typeof this.options.items?this.options.items.call(this.element[0],t,{item:this.currentItem}):V(this.options.items,this.element),this]],u=this._connectWith();if(u&&this.ready)for(e=u.length-1;0<=e;e--)for(i=(s=V(u[e],this.document[0])).length-1;0<=i;i--)(n=V.data(s[i],this.widgetFullName))&&n!==this&&!n.options.disabled&&(c.push(["function"==typeof n.options.items?n.options.items.call(n.element[0],t,{item:this.currentItem}):V(n.options.items,n.element),n]),this.containers.push(n));for(e=c.length-1;0<=e;e--)for(o=c[e][1],l=(a=c[e][i=0]).length;i<l;i++)(r=V(a[i])).data(this.widgetName+"-item",o),h.push({item:r,instance:o,width:0,height:0,left:0,top:0})},_refreshItemPositions:function(t){for(var e,i,s=this.items.length-1;0<=s;s--)e=this.items[s],this.currentContainer&&e.instance!==this.currentContainer&&e.item[0]!==this.currentItem[0]||(i=this.options.toleranceElement?V(this.options.toleranceElement,e.item):e.item,t||(e.width=i.outerWidth(),e.height=i.outerHeight()),i=i.offset(),e.left=i.left,e.top=i.top)},refreshPositions:function(t){var e,i;if(this.floating=!!this.items.length&&("x"===this.options.axis||this._isFloating(this.items[0].item)),this.offsetParent&&this.helper&&(this.offset.parent=this._getParentOffset()),this._refreshItemPositions(t),this.options.custom&&this.options.custom.refreshContainers)this.options.custom.refreshContainers.call(this);else for(e=this.containers.length-1;0<=e;e--)i=this.containers[e].element.offset(),this.containers[e].containerCache.left=i.left,this.containers[e].containerCache.top=i.top,this.containers[e].containerCache.width=this.containers[e].element.outerWidth(),this.containers[e].containerCache.height=this.containers[e].element.outerHeight();return this},_createPlaceholder:function(i){var s,n,o=(i=i||this).options;o.placeholder&&o.placeholder.constructor!==String||(s=o.placeholder,n=i.currentItem[0].nodeName.toLowerCase(),o.placeholder={element:function(){var t=V("<"+n+">",i.document[0]);return i._addClass(t,"ui-sortable-placeholder",s||i.currentItem[0].className)._removeClass(t,"ui-sortable-helper"),"tbody"===n?i._createTrPlaceholder(i.currentItem.find("tr").eq(0),V("<tr>",i.document[0]).appendTo(t)):"tr"===n?i._createTrPlaceholder(i.currentItem,t):"img"===n&&t.attr("src",i.currentItem.attr("src")),s||t.css("visibility","hidden"),t},update:function(t,e){s&&!o.forcePlaceholderSize||(e.height()&&(!o.forcePlaceholderSize||"tbody"!==n&&"tr"!==n)||e.height(i.currentItem.innerHeight()-parseInt(i.currentItem.css("paddingTop")||0,10)-parseInt(i.currentItem.css("paddingBottom")||0,10)),e.width()||e.width(i.currentItem.innerWidth()-parseInt(i.currentItem.css("paddingLeft")||0,10)-parseInt(i.currentItem.css("paddingRight")||0,10)))}}),i.placeholder=V(o.placeholder.element.call(i.element,i.currentItem)),i.currentItem.after(i.placeholder),o.placeholder.update(i,i.placeholder)},_createTrPlaceholder:function(t,e){var i=this;t.children().each(function(){V("<td>&#160;</td>",i.document[0]).attr("colspan",V(this).attr("colspan")||1).appendTo(e)})},_contactContainers:function(t){for(var e,i,s,n,o,a,r,l,h,c=null,u=null,d=this.containers.length-1;0<=d;d--)V.contains(this.currentItem[0],this.containers[d].element[0])||(this._intersectsWith(this.containers[d].containerCache)?c&&V.contains(this.containers[d].element[0],c.element[0])||(c=this.containers[d],u=d):this.containers[d].containerCache.over&&(this.containers[d]._trigger("out",t,this._uiHash(this)),this.containers[d].containerCache.over=0));if(c)if(1===this.containers.length)this.containers[u].containerCache.over||(this.containers[u]._trigger("over",t,this._uiHash(this)),this.containers[u].containerCache.over=1);else{for(i=1e4,s=null,n=(l=c.floating||this._isFloating(this.currentItem))?"left":"top",o=l?"width":"height",h=l?"pageX":"pageY",e=this.items.length-1;0<=e;e--)V.contains(this.containers[u].element[0],this.items[e].item[0])&&this.items[e].item[0]!==this.currentItem[0]&&(a=this.items[e].item.offset()[n],r=!1,t[h]-a>this.items[e][o]/2&&(r=!0),Math.abs(t[h]-a)<i&&(i=Math.abs(t[h]-a),s=this.items[e],this.direction=r?"up":"down"));(s||this.options.dropOnEmpty)&&(this.currentContainer!==this.containers[u]?(s?this._rearrange(t,s,null,!0):this._rearrange(t,null,this.containers[u].element,!0),this._trigger("change",t,this._uiHash()),this.containers[u]._trigger("change",t,this._uiHash(this)),this.currentContainer=this.containers[u],this.options.placeholder.update(this.currentContainer,this.placeholder),this.scrollParent=this.placeholder.scrollParent(),this.scrollParent[0]!==this.document[0]&&"HTML"!==this.scrollParent[0].tagName&&(this.overflowOffset=this.scrollParent.offset()),this.containers[u]._trigger("over",t,this._uiHash(this)),this.containers[u].containerCache.over=1):this.currentContainer.containerCache.over||(this.containers[u]._trigger("over",t,this._uiHash()),this.currentContainer.containerCache.over=1))}},_createHelper:function(t){var e=this.options,t="function"==typeof e.helper?V(e.helper.apply(this.element[0],[t,this.currentItem])):"clone"===e.helper?this.currentItem.clone():this.currentItem;return t.parents("body").length||this.appendTo[0].appendChild(t[0]),t[0]===this.currentItem[0]&&(this._storedCSS={width:this.currentItem[0].style.width,height:this.currentItem[0].style.height,position:this.currentItem.css("position"),top:this.currentItem.css("top"),left:this.currentItem.css("left")}),t[0].style.width&&!e.forceHelperSize||t.width(this.currentItem.width()),t[0].style.height&&!e.forceHelperSize||t.height(this.currentItem.height()),t},_adjustOffsetFromHelper:function(t){"string"==typeof t&&(t=t.split(" ")),"left"in(t=Array.isArray(t)?{left:+t[0],top:+t[1]||0}:t)&&(this.offset.click.left=t.left+this.margins.left),"right"in t&&(this.offset.click.left=this.helperProportions.width-t.right+this.margins.left),"top"in t&&(this.offset.click.top=t.top+this.margins.top),"bottom"in t&&(this.offset.click.top=this.helperProportions.height-t.bottom+this.margins.top)},_getParentOffset:function(){this.offsetParent=this.helper.offsetParent();var t=this.offsetParent.offset();return"absolute"===this.cssPosition&&this.scrollParent[0]!==this.document[0]&&V.contains(this.scrollParent[0],this.offsetParent[0])&&(t.left+=this.scrollParent.scrollLeft(),t.top+=this.scrollParent.scrollTop()),{top:(t=this.offsetParent[0]===this.document[0].body||this.offsetParent[0].tagName&&"html"===this.offsetParent[0].tagName.toLowerCase()&&V.ui.ie?{top:0,left:0}:t).top+(parseInt(this.offsetParent.css("borderTopWidth"),10)||0),left:t.left+(parseInt(this.offsetParent.css("borderLeftWidth"),10)||0)}},_getRelativeOffset:function(){if("relative"!==this.cssPosition)return{top:0,left:0};var t=this.currentItem.position();return{top:t.top-(parseInt(this.helper.css("top"),10)||0)+this.scrollParent.scrollTop(),left:t.left-(parseInt(this.helper.css("left"),10)||0)+this.scrollParent.scrollLeft()}},_cacheMargins:function(){this.margins={left:parseInt(this.currentItem.css("marginLeft"),10)||0,top:parseInt(this.currentItem.css("marginTop"),10)||0}},_cacheHelperProportions:function(){this.helperProportions={width:this.helper.outerWidth(),height:this.helper.outerHeight()}},_setContainment:function(){var t,e,i=this.options;"parent"===i.containment&&(i.containment=this.helper[0].parentNode),"document"!==i.containment&&"window"!==i.containment||(this.containment=[0-this.offset.relative.left-this.offset.parent.left,0-this.offset.relative.top-this.offset.parent.top,"document"===i.containment?this.document.width():this.window.width()-this.helperProportions.width-this.margins.left,("document"===i.containment?this.document.height()||document.body.parentNode.scrollHeight:this.window.height()||this.document[0].body.parentNode.scrollHeight)-this.helperProportions.height-this.margins.top]),/^(document|window|parent)$/.test(i.containment)||(t=V(i.containment)[0],e=V(i.containment).offset(),i="hidden"!==V(t).css("overflow"),this.containment=[e.left+(parseInt(V(t).css("borderLeftWidth"),10)||0)+(parseInt(V(t).css("paddingLeft"),10)||0)-this.margins.left,e.top+(parseInt(V(t).css("borderTopWidth"),10)||0)+(parseInt(V(t).css("paddingTop"),10)||0)-this.margins.top,e.left+(i?Math.max(t.scrollWidth,t.offsetWidth):t.offsetWidth)-(parseInt(V(t).css("borderLeftWidth"),10)||0)-(parseInt(V(t).css("paddingRight"),10)||0)-this.helperProportions.width-this.margins.left,e.top+(i?Math.max(t.scrollHeight,t.offsetHeight):t.offsetHeight)-(parseInt(V(t).css("borderTopWidth"),10)||0)-(parseInt(V(t).css("paddingBottom"),10)||0)-this.helperProportions.height-this.margins.top])},_convertPositionTo:function(t,e){e=e||this.position;var i="absolute"===t?1:-1,s="absolute"!==this.cssPosition||this.scrollParent[0]!==this.document[0]&&V.contains(this.scrollParent[0],this.offsetParent[0])?this.scrollParent:this.offsetParent,t=/(html|body)/i.test(s[0].tagName);return{top:e.top+this.offset.relative.top*i+this.offset.parent.top*i-("fixed"===this.cssPosition?-this.scrollParent.scrollTop():t?0:s.scrollTop())*i,left:e.left+this.offset.relative.left*i+this.offset.parent.left*i-("fixed"===this.cssPosition?-this.scrollParent.scrollLeft():t?0:s.scrollLeft())*i}},_generatePosition:function(t){var e=this.options,i=t.pageX,s=t.pageY,n="absolute"!==this.cssPosition||this.scrollParent[0]!==this.document[0]&&V.contains(this.scrollParent[0],this.offsetParent[0])?this.scrollParent:this.offsetParent,o=/(html|body)/i.test(n[0].tagName);return"relative"!==this.cssPosition||this.scrollParent[0]!==this.document[0]&&this.scrollParent[0]!==this.offsetParent[0]||(this.offset.relative=this._getRelativeOffset()),this.originalPosition&&(this.containment&&(t.pageX-this.offset.click.left<this.containment[0]&&(i=this.containment[0]+this.offset.click.left),t.pageY-this.offset.click.top<this.containment[1]&&(s=this.containment[1]+this.offset.click.top),t.pageX-this.offset.click.left>this.containment[2]&&(i=this.containment[2]+this.offset.click.left),t.pageY-this.offset.click.top>this.containment[3]&&(s=this.containment[3]+this.offset.click.top)),e.grid&&(t=this.originalPageY+Math.round((s-this.originalPageY)/e.grid[1])*e.grid[1],s=!this.containment||t-this.offset.click.top>=this.containment[1]&&t-this.offset.click.top<=this.containment[3]?t:t-this.offset.click.top>=this.containment[1]?t-e.grid[1]:t+e.grid[1],t=this.originalPageX+Math.round((i-this.originalPageX)/e.grid[0])*e.grid[0],i=!this.containment||t-this.offset.click.left>=this.containment[0]&&t-this.offset.click.left<=this.containment[2]?t:t-this.offset.click.left>=this.containment[0]?t-e.grid[0]:t+e.grid[0])),{top:s-this.offset.click.top-this.offset.relative.top-this.offset.parent.top+("fixed"===this.cssPosition?-this.scrollParent.scrollTop():o?0:n.scrollTop()),left:i-this.offset.click.left-this.offset.relative.left-this.offset.parent.left+("fixed"===this.cssPosition?-this.scrollParent.scrollLeft():o?0:n.scrollLeft())}},_rearrange:function(t,e,i,s){i?i[0].appendChild(this.placeholder[0]):e.item[0].parentNode.insertBefore(this.placeholder[0],"down"===this.direction?e.item[0]:e.item[0].nextSibling),this.counter=this.counter?++this.counter:1;var n=this.counter;this._delay(function(){n===this.counter&&this.refreshPositions(!s)})},_clear:function(t,e){this.reverting=!1;var i,s=[];if(!this._noFinalSort&&this.currentItem.parent().length&&this.placeholder.before(this.currentItem),this._noFinalSort=null,this.helper[0]===this.currentItem[0]){for(i in this._storedCSS)"auto"!==this._storedCSS[i]&&"static"!==this._storedCSS[i]||(this._storedCSS[i]="");this.currentItem.css(this._storedCSS),this._removeClass(this.currentItem,"ui-sortable-helper")}else this.currentItem.show();function n(e,i,s){return function(t){s._trigger(e,t,i._uiHash(i))}}for(this.fromOutside&&!e&&s.push(function(t){this._trigger("receive",t,this._uiHash(this.fromOutside))}),!this.fromOutside&&this.domPosition.prev===this.currentItem.prev().not(".ui-sortable-helper")[0]&&this.domPosition.parent===this.currentItem.parent()[0]||e||s.push(function(t){this._trigger("update",t,this._uiHash())}),this!==this.currentContainer&&(e||(s.push(function(t){this._trigger("remove",t,this._uiHash())}),s.push(function(e){return function(t){e._trigger("receive",t,this._uiHash(this))}}.call(this,this.currentContainer)),s.push(function(e){return function(t){e._trigger("update",t,this._uiHash(this))}}.call(this,this.currentContainer)))),i=this.containers.length-1;0<=i;i--)e||s.push(n("deactivate",this,this.containers[i])),this.containers[i].containerCache.over&&(s.push(n("out",this,this.containers[i])),this.containers[i].containerCache.over=0);if(this.storedCursor&&(this.document.find("body").css("cursor",this.storedCursor),this.storedStylesheet.remove()),this._storedOpacity&&this.helper.css("opacity",this._storedOpacity),this._storedZIndex&&this.helper.css("zIndex","auto"===this._storedZIndex?"":this._storedZIndex),this.dragging=!1,e||this._trigger("beforeStop",t,this._uiHash()),this.placeholder[0].parentNode.removeChild(this.placeholder[0]),this.cancelHelperRemoval||(this.helper[0]!==this.currentItem[0]&&this.helper.remove(),this.helper=null),!e){for(i=0;i<s.length;i++)s[i].call(this,t);this._trigger("stop",t,this._uiHash())}return this.fromOutside=!1,!this.cancelHelperRemoval},_trigger:function(){!1===V.Widget.prototype._trigger.apply(this,arguments)&&this.cancel()},_uiHash:function(t){var e=t||this;return{helper:e.helper,placeholder:e.placeholder||V([]),position:e.position,originalPosition:e.originalPosition,offset:e.positionAbs,item:e.currentItem,sender:t?t.element:null}}});function ht(e){return function(){var t=this.element.val();e.apply(this,arguments),this._refresh(),t!==this.element.val()&&this._trigger("change")}}V.widget("ui.spinner",{version:"1.13.2",defaultElement:"<input>",widgetEventPrefix:"spin",options:{classes:{"ui-spinner":"ui-corner-all","ui-spinner-down":"ui-corner-br","ui-spinner-up":"ui-corner-tr"},culture:null,icons:{down:"ui-icon-triangle-1-s",up:"ui-icon-triangle-1-n"},incremental:!0,max:null,min:null,numberFormat:null,page:10,step:1,change:null,spin:null,start:null,stop:null},_create:function(){this._setOption("max",this.options.max),this._setOption("min",this.options.min),this._setOption("step",this.options.step),""!==this.value()&&this._value(this.element.val(),!0),this._draw(),this._on(this._events),this._refresh(),this._on(this.window,{beforeunload:function(){this.element.removeAttr("autocomplete")}})},_getCreateOptions:function(){var s=this._super(),n=this.element;return V.each(["min","max","step"],function(t,e){var i=n.attr(e);null!=i&&i.length&&(s[e]=i)}),s},_events:{keydown:function(t){this._start(t)&&this._keydown(t)&&t.preventDefault()},keyup:"_stop",focus:function(){this.previous=this.element.val()},blur:function(t){this.cancelBlur?delete this.cancelBlur:(this._stop(),this._refresh(),this.previous!==this.element.val()&&this._trigger("change",t))},mousewheel:function(t,e){var i=V.ui.safeActiveElement(this.document[0]);if(this.element[0]===i&&e){if(!this.spinning&&!this._start(t))return!1;this._spin((0<e?1:-1)*this.options.step,t),clearTimeout(this.mousewheelTimer),this.mousewheelTimer=this._delay(function(){this.spinning&&this._stop(t)},100),t.preventDefault()}},"mousedown .ui-spinner-button":function(t){var e;function i(){this.element[0]===V.ui.safeActiveElement(this.document[0])||(this.element.trigger("focus"),this.previous=e,this._delay(function(){this.previous=e}))}e=this.element[0]===V.ui.safeActiveElement(this.document[0])?this.previous:this.element.val(),t.preventDefault(),i.call(this),this.cancelBlur=!0,this._delay(function(){delete this.cancelBlur,i.call(this)}),!1!==this._start(t)&&this._repeat(null,V(t.currentTarget).hasClass("ui-spinner-up")?1:-1,t)},"mouseup .ui-spinner-button":"_stop","mouseenter .ui-spinner-button":function(t){if(V(t.currentTarget).hasClass("ui-state-active"))return!1!==this._start(t)&&void this._repeat(null,V(t.currentTarget).hasClass("ui-spinner-up")?1:-1,t)},"mouseleave .ui-spinner-button":"_stop"},_enhance:function(){this.uiSpinner=this.element.attr("autocomplete","off").wrap("<span>").parent().append("<a></a><a></a>")},_draw:function(){this._enhance(),this._addClass(this.uiSpinner,"ui-spinner","ui-widget ui-widget-content"),this._addClass("ui-spinner-input"),this.element.attr("role","spinbutton"),this.buttons=this.uiSpinner.children("a").attr("tabIndex",-1).attr("aria-hidden",!0).button({classes:{"ui-button":""}}),this._removeClass(this.buttons,"ui-corner-all"),this._addClass(this.buttons.first(),"ui-spinner-button ui-spinner-up"),this._addClass(this.buttons.last(),"ui-spinner-button ui-spinner-down"),this.buttons.first().button({icon:this.options.icons.up,showLabel:!1}),this.buttons.last().button({icon:this.options.icons.down,showLabel:!1}),this.buttons.height()>Math.ceil(.5*this.uiSpinner.height())&&0<this.uiSpinner.height()&&this.uiSpinner.height(this.uiSpinner.height())},_keydown:function(t){var e=this.options,i=V.ui.keyCode;switch(t.keyCode){case i.UP:return this._repeat(null,1,t),!0;case i.DOWN:return this._repeat(null,-1,t),!0;case i.PAGE_UP:return this._repeat(null,e.page,t),!0;case i.PAGE_DOWN:return this._repeat(null,-e.page,t),!0}return!1},_start:function(t){return!(!this.spinning&&!1===this._trigger("start",t))&&(this.counter||(this.counter=1),this.spinning=!0)},_repeat:function(t,e,i){t=t||500,clearTimeout(this.timer),this.timer=this._delay(function(){this._repeat(40,e,i)},t),this._spin(e*this.options.step,i)},_spin:function(t,e){var i=this.value()||0;this.counter||(this.counter=1),i=this._adjustValue(i+t*this._increment(this.counter)),this.spinning&&!1===this._trigger("spin",e,{value:i})||(this._value(i),this.counter++)},_increment:function(t){var e=this.options.incremental;return e?"function"==typeof e?e(t):Math.floor(t*t*t/5e4-t*t/500+17*t/200+1):1},_precision:function(){var t=this._precisionOf(this.options.step);return t=null!==this.options.min?Math.max(t,this._precisionOf(this.options.min)):t},_precisionOf:function(t){var e=t.toString(),t=e.indexOf(".");return-1===t?0:e.length-t-1},_adjustValue:function(t){var e=this.options,i=null!==e.min?e.min:0,s=t-i;return t=i+Math.round(s/e.step)*e.step,t=parseFloat(t.toFixed(this._precision())),null!==e.max&&t>e.max?e.max:null!==e.min&&t<e.min?e.min:t},_stop:function(t){this.spinning&&(clearTimeout(this.timer),clearTimeout(this.mousewheelTimer),this.counter=0,this.spinning=!1,this._trigger("stop",t))},_setOption:function(t,e){var i;if("culture"===t||"numberFormat"===t)return i=this._parse(this.element.val()),this.options[t]=e,void this.element.val(this._format(i));"max"!==t&&"min"!==t&&"step"!==t||"string"==typeof e&&(e=this._parse(e)),"icons"===t&&(i=this.buttons.first().find(".ui-icon"),this._removeClass(i,null,this.options.icons.up),this._addClass(i,null,e.up),i=this.buttons.last().find(".ui-icon"),this._removeClass(i,null,this.options.icons.down),this._addClass(i,null,e.down)),this._super(t,e)},_setOptionDisabled:function(t){this._super(t),this._toggleClass(this.uiSpinner,null,"ui-state-disabled",!!t),this.element.prop("disabled",!!t),this.buttons.button(t?"disable":"enable")},_setOptions:ht(function(t){this._super(t)}),_parse:function(t){return""===(t="string"==typeof 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aria-valuenow"),this.uiSpinner.replaceWith(this.element)},stepUp:ht(function(t){this._stepUp(t)}),_stepUp:function(t){this._start()&&(this._spin((t||1)*this.options.step),this._stop())},stepDown:ht(function(t){this._stepDown(t)}),_stepDown:function(t){this._start()&&(this._spin((t||1)*-this.options.step),this._stop())},pageUp:ht(function(t){this._stepUp((t||1)*this.options.page)}),pageDown:ht(function(t){this._stepDown((t||1)*this.options.page)}),value:function(t){if(!arguments.length)return this._parse(this.element.val());ht(this._value).call(this,t)},widget:function(){return this.uiSpinner}}),!1!==V.uiBackCompat&&V.widget("ui.spinner",V.ui.spinner,{_enhance:function(){this.uiSpinner=this.element.attr("autocomplete","off").wrap(this._uiSpinnerHtml()).parent().append(this._buttonHtml())},_uiSpinnerHtml:function(){return"<span>"},_buttonHtml:function(){return"<a></a><a></a>"}});var 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t.altKey&&t.keyCode===V.ui.keyCode.PAGE_UP?(this._activate(this._focusNextTab(this.options.active-1,!1)),!0):t.altKey&&t.keyCode===V.ui.keyCode.PAGE_DOWN?(this._activate(this._focusNextTab(this.options.active+1,!0)),!0):void 0},_findNextTab:function(t,e){var i=this.tabs.length-1;for(;-1!==V.inArray(t=(t=i<t?0:t)<0?i:t,this.options.disabled);)t=e?t+1:t-1;return t},_focusNextTab:function(t,e){return t=this._findNextTab(t,e),this.tabs.eq(t).trigger("focus"),t},_setOption:function(t,e){"active"!==t?(this._super(t,e),"collapsible"===t&&(this._toggleClass("ui-tabs-collapsible",null,e),e||!1!==this.options.active||this._activate(0)),"event"===t&&this._setupEvents(e),"heightStyle"===t&&this._setupHeightStyle(e)):this._activate(e)},_sanitizeSelector:function(t){return t?t.replace(/[!"$%&'()*+,.\/:;<=>?@\[\]\^`{|}~]/g,"\\$&"):""},refresh:function(){var t=this.options,e=this.tablist.children(":has(a[href])");t.disabled=V.map(e.filter(".ui-state-disabled"),function(t){return e.index(t)}),this._processTabs(),!1!==t.active&&this.anchors.length?this.active.length&&!V.contains(this.tablist[0],this.active[0])?this.tabs.length===t.disabled.length?(t.active=!1,this.active=V()):this._activate(this._findNextTab(Math.max(0,t.active-1),!1)):t.active=this.tabs.index(this.active):(t.active=!1,this.active=V()),this._refresh()},_refresh:function(){this._setOptionDisabled(this.options.disabled),this._setupEvents(this.options.event),this._setupHeightStyle(this.options.heightStyle),this.tabs.not(this.active).attr({"aria-selected":"false","aria-expanded":"false",tabIndex:-1}),this.panels.not(this._getPanelForTab(this.active)).hide().attr({"aria-hidden":"true"}),this.active.length?(this.active.attr({"aria-selected":"true","aria-expanded":"true",tabIndex:0}),this._addClass(this.active,"ui-tabs-active","ui-state-active"),this._getPanelForTab(this.active).show().attr({"aria-hidden":"false"})):this.tabs.eq(0).attr("tabIndex",0)},_processTabs:function(){var l=this,t=this.tabs,e=this.anchors,i=this.panels;this.tablist=this._getList().attr("role","tablist"),this._addClass(this.tablist,"ui-tabs-nav","ui-helper-reset ui-helper-clearfix ui-widget-header"),this.tablist.on("mousedown"+this.eventNamespace,"> li",function(t){V(this).is(".ui-state-disabled")&&t.preventDefault()}).on("focus"+this.eventNamespace,".ui-tabs-anchor",function(){V(this).closest("li").is(".ui-state-disabled")&&this.blur()}),this.tabs=this.tablist.find("> li:has(a[href])").attr({role:"tab",tabIndex:-1}),this._addClass(this.tabs,"ui-tabs-tab","ui-state-default"),this.anchors=this.tabs.map(function(){return V("a",this)[0]}).attr({tabIndex:-1}),this._addClass(this.anchors,"ui-tabs-anchor"),this.panels=V(),this.anchors.each(function(t,e){var i,s,n,o=V(e).uniqueId().attr("id"),a=V(e).closest("li"),r=a.attr("aria-controls");l._isLocal(e)?(n=(i=e.hash).substring(1),s=l.element.find(l._sanitizeSelector(i))):(n=a.attr("aria-controls")||V({}).uniqueId()[0].id,(s=l.element.find(i="#"+n)).length||(s=l._createPanel(n)).insertAfter(l.panels[t-1]||l.tablist),s.attr("aria-live","polite")),s.length&&(l.panels=l.panels.add(s)),r&&a.data("ui-tabs-aria-controls",r),a.attr({"aria-controls":n,"aria-labelledby":o}),s.attr("aria-labelledby",o)}),this.panels.attr("role","tabpanel"),this._addClass(this.panels,"ui-tabs-panel","ui-widget-content"),t&&(this._off(t.not(this.tabs)),this._off(e.not(this.anchors)),this._off(i.not(this.panels)))},_getList:function(){return this.tablist||this.element.find("ol, ul").eq(0)},_createPanel:function(t){return V("<div>").attr("id",t).data("ui-tabs-destroy",!0)},_setOptionDisabled:function(t){var e,i;for(Array.isArray(t)&&(t.length?t.length===this.anchors.length&&(t=!0):t=!1),i=0;e=this.tabs[i];i++)e=V(e),!0===t||-1!==V.inArray(i,t)?(e.attr("aria-disabled","true"),this._addClass(e,null,"ui-state-disabled")):(e.removeAttr("aria-disabled"),this._removeClass(e,null,"ui-state-disabled"));this.options.disabled=t,this._toggleClass(this.widget(),this.widgetFullName+"-disabled",null,!0===t)},_setupEvents:function(t){var i={};t&&V.each(t.split(" "),function(t,e){i[e]="_eventHandler"}),this._off(this.anchors.add(this.tabs).add(this.panels)),this._on(!0,this.anchors,{click:function(t){t.preventDefault()}}),this._on(this.anchors,i),this._on(this.tabs,{keydown:"_tabKeydown"}),this._on(this.panels,{keydown:"_panelKeydown"}),this._focusable(this.tabs),this._hoverable(this.tabs)},_setupHeightStyle:function(t){var i,e=this.element.parent();"fill"===t?(i=e.height(),i-=this.element.outerHeight()-this.element.height(),this.element.siblings(":visible").each(function(){var t=V(this),e=t.css("position");"absolute"!==e&&"fixed"!==e&&(i-=t.outerHeight(!0))}),this.element.children().not(this.panels).each(function(){i-=V(this).outerHeight(!0)}),this.panels.each(function(){V(this).height(Math.max(0,i-V(this).innerHeight()+V(this).height()))}).css("overflow","auto")):"auto"===t&&(i=0,this.panels.each(function(){i=Math.max(i,V(this).height("").height())}).height(i))},_eventHandler:function(t){var e=this.options,i=this.active,s=V(t.currentTarget).closest("li"),n=s[0]===i[0],o=n&&e.collapsible,a=o?V():this._getPanelForTab(s),r=i.length?this._getPanelForTab(i):V(),i={oldTab:i,oldPanel:r,newTab:o?V():s,newPanel:a};t.preventDefault(),s.hasClass("ui-state-disabled")||s.hasClass("ui-tabs-loading")||this.running||n&&!e.collapsible||!1===this._trigger("beforeActivate",t,i)||(e.active=!o&&this.tabs.index(s),this.active=n?V():s,this.xhr&&this.xhr.abort(),r.length||a.length||V.error("jQuery UI Tabs: Mismatching fragment identifier."),a.length&&this.load(this.tabs.index(s),t),this._toggle(t,i))},_toggle:function(t,e){var i=this,s=e.newPanel,n=e.oldPanel;function o(){i.running=!1,i._trigger("activate",t,e)}function a(){i._addClass(e.newTab.closest("li"),"ui-tabs-active","ui-state-active"),s.length&&i.options.show?i._show(s,i.options.show,o):(s.show(),o())}this.running=!0,n.length&&this.options.hide?this._hide(n,this.options.hide,function(){i._removeClass(e.oldTab.closest("li"),"ui-tabs-active","ui-state-active"),a()}):(this._removeClass(e.oldTab.closest("li"),"ui-tabs-active","ui-state-active"),n.hide(),a()),n.attr("aria-hidden","true"),e.oldTab.attr({"aria-selected":"false","aria-expanded":"false"}),s.length&&n.length?e.oldTab.attr("tabIndex",-1):s.length&&this.tabs.filter(function(){return 0===V(this).attr("tabIndex")}).attr("tabIndex",-1),s.attr("aria-hidden","false"),e.newTab.attr({"aria-selected":"true","aria-expanded":"true",tabIndex:0})},_activate:function(t){var t=this._findActive(t);t[0]!==this.active[0]&&(t=(t=!t.length?this.active:t).find(".ui-tabs-anchor")[0],this._eventHandler({target:t,currentTarget:t,preventDefault:V.noop}))},_findActive:function(t){return!1===t?V():this.tabs.eq(t)},_getIndex:function(t){return t="string"==typeof t?this.anchors.index(this.anchors.filter("[href$='"+V.escapeSelector(t)+"']")):t},_destroy:function(){this.xhr&&this.xhr.abort(),this.tablist.removeAttr("role").off(this.eventNamespace),this.anchors.removeAttr("role tabIndex").removeUniqueId(),this.tabs.add(this.panels).each(function(){V.data(this,"ui-tabs-destroy")?V(this).remove():V(this).removeAttr("role tabIndex aria-live aria-busy aria-selected aria-labelledby aria-hidden aria-expanded")}),this.tabs.each(function(){var t=V(this),e=t.data("ui-tabs-aria-controls");e?t.attr("aria-controls",e).removeData("ui-tabs-aria-controls"):t.removeAttr("aria-controls")}),this.panels.show(),"content"!==this.options.heightStyle&&this.panels.css("height","")},enable:function(i){var t=this.options.disabled;!1!==t&&(t=void 0!==i&&(i=this._getIndex(i),Array.isArray(t)?V.map(t,function(t){return t!==i?t:null}):V.map(this.tabs,function(t,e){return e!==i?e:null})),this._setOptionDisabled(t))},disable:function(t){var e=this.options.disabled;if(!0!==e){if(void 0===t)e=!0;else{if(t=this._getIndex(t),-1!==V.inArray(t,e))return;e=Array.isArray(e)?V.merge([t],e).sort():[t]}this._setOptionDisabled(e)}},load:function(t,s){t=this._getIndex(t);function n(t,e){"abort"===e&&o.panels.stop(!1,!0),o._removeClass(i,"ui-tabs-loading"),a.removeAttr("aria-busy"),t===o.xhr&&delete o.xhr}var o=this,i=this.tabs.eq(t),t=i.find(".ui-tabs-anchor"),a=this._getPanelForTab(i),r={tab:i,panel:a};this._isLocal(t[0])||(this.xhr=V.ajax(this._ajaxSettings(t,s,r)),this.xhr&&"canceled"!==this.xhr.statusText&&(this._addClass(i,"ui-tabs-loading"),a.attr("aria-busy","true"),this.xhr.done(function(t,e,i){setTimeout(function(){a.html(t),o._trigger("load",s,r),n(i,e)},1)}).fail(function(t,e){setTimeout(function(){n(t,e)},1)})))},_ajaxSettings:function(t,i,s){var n=this;return{url:t.attr("href").replace(/#.*$/,""),beforeSend:function(t,e){return n._trigger("beforeLoad",i,V.extend({jqXHR:t,ajaxSettings:e},s))}}},_getPanelForTab:function(t){t=V(t).attr("aria-controls");return this.element.find(this._sanitizeSelector("#"+t))}}),!1!==V.uiBackCompat&&V.widget("ui.tabs",V.ui.tabs,{_processTabs:function(){this._superApply(arguments),this._addClass(this.tabs,"ui-tab")}});V.ui.tabs;V.widget("ui.tooltip",{version:"1.13.2",options:{classes:{"ui-tooltip":"ui-corner-all ui-widget-shadow"},content:function(){var t=V(this).attr("title");return V("<a>").text(t).html()},hide:!0,items:"[title]:not([disabled])",position:{my:"left top+15",at:"left bottom",collision:"flipfit flip"},show:!0,track:!1,close:null,open:null},_addDescribedBy:function(t,e){var i=(t.attr("aria-describedby")||"").split(/\s+/);i.push(e),t.data("ui-tooltip-id",e).attr("aria-describedby",String.prototype.trim.call(i.join(" ")))},_removeDescribedBy:function(t){var e=t.data("ui-tooltip-id"),i=(t.attr("aria-describedby")||"").split(/\s+/),e=V.inArray(e,i);-1!==e&&i.splice(e,1),t.removeData("ui-tooltip-id"),(i=String.prototype.trim.call(i.join(" ")))?t.attr("aria-describedby",i):t.removeAttr("aria-describedby")},_create:function(){this._on({mouseover:"open",focusin:"open"}),this.tooltips={},this.parents={},this.liveRegion=V("<div>").attr({role:"log","aria-live":"assertive","aria-relevant":"additions"}).appendTo(this.document[0].body),this._addClass(this.liveRegion,null,"ui-helper-hidden-accessible"),this.disabledTitles=V([])},_setOption:function(t,e){var i=this;this._super(t,e),"content"===t&&V.each(this.tooltips,function(t,e){i._updateContent(e.element)})},_setOptionDisabled:function(t){this[t?"_disable":"_enable"]()},_disable:function(){var s=this;V.each(this.tooltips,function(t,e){var i=V.Event("blur");i.target=i.currentTarget=e.element[0],s.close(i,!0)}),this.disabledTitles=this.disabledTitles.add(this.element.find(this.options.items).addBack().filter(function(){var t=V(this);if(t.is("[title]"))return t.data("ui-tooltip-title",t.attr("title")).removeAttr("title")}))},_enable:function(){this.disabledTitles.each(function(){var t=V(this);t.data("ui-tooltip-title")&&t.attr("title",t.data("ui-tooltip-title"))}),this.disabledTitles=V([])},open:function(t){var i=this,e=V(t?t.target:this.element).closest(this.options.items);e.length&&!e.data("ui-tooltip-id")&&(e.attr("title")&&e.data("ui-tooltip-title",e.attr("title")),e.data("ui-tooltip-open",!0),t&&"mouseover"===t.type&&e.parents().each(function(){var t,e=V(this);e.data("ui-tooltip-open")&&((t=V.Event("blur")).target=t.currentTarget=this,i.close(t,!0)),e.attr("title")&&(e.uniqueId(),i.parents[this.id]={element:this,title:e.attr("title")},e.attr("title",""))}),this._registerCloseHandlers(t,e),this._updateContent(e,t))},_updateContent:function(e,i){var t=this.options.content,s=this,n=i?i.type:null;if("string"==typeof t||t.nodeType||t.jquery)return this._open(i,e,t);(t=t.call(e[0],function(t){s._delay(function(){e.data("ui-tooltip-open")&&(i&&(i.type=n),this._open(i,e,t))})}))&&this._open(i,e,t)},_open:function(t,e,i){var s,n,o,a=V.extend({},this.options.position);function r(t){a.of=t,n.is(":hidden")||n.position(a)}i&&((s=this._find(e))?s.tooltip.find(".ui-tooltip-content").html(i):(e.is("[title]")&&(t&&"mouseover"===t.type?e.attr("title",""):e.removeAttr("title")),s=this._tooltip(e),n=s.tooltip,this._addDescribedBy(e,n.attr("id")),n.find(".ui-tooltip-content").html(i),this.liveRegion.children().hide(),(i=V("<div>").html(n.find(".ui-tooltip-content").html())).removeAttr("name").find("[name]").removeAttr("name"),i.removeAttr("id").find("[id]").removeAttr("id"),i.appendTo(this.liveRegion),this.options.track&&t&&/^mouse/.test(t.type)?(this._on(this.document,{mousemove:r}),r(t)):n.position(V.extend({of:e},this.options.position)),n.hide(),this._show(n,this.options.show),this.options.track&&this.options.show&&this.options.show.delay&&(o=this.delayedShow=setInterval(function(){n.is(":visible")&&(r(a.of),clearInterval(o))},13)),this._trigger("open",t,{tooltip:n})))},_registerCloseHandlers:function(t,e){var i={keyup:function(t){t.keyCode===V.ui.keyCode.ESCAPE&&((t=V.Event(t)).currentTarget=e[0],this.close(t,!0))}};e[0]!==this.element[0]&&(i.remove=function(){var t=this._find(e);t&&this._removeTooltip(t.tooltip)}),t&&"mouseover"!==t.type||(i.mouseleave="close"),t&&"focusin"!==t.type||(i.focusout="close"),this._on(!0,e,i)},close:function(t){var e,i=this,s=V(t?t.currentTarget:this.element),n=this._find(s);n?(e=n.tooltip,n.closing||(clearInterval(this.delayedShow),s.data("ui-tooltip-title")&&!s.attr("title")&&s.attr("title",s.data("ui-tooltip-title")),this._removeDescribedBy(s),n.hiding=!0,e.stop(!0),this._hide(e,this.options.hide,function(){i._removeTooltip(V(this))}),s.removeData("ui-tooltip-open"),this._off(s,"mouseleave focusout keyup"),s[0]!==this.element[0]&&this._off(s,"remove"),this._off(this.document,"mousemove"),t&&"mouseleave"===t.type&&V.each(this.parents,function(t,e){V(e.element).attr("title",e.title),delete i.parents[t]}),n.closing=!0,this._trigger("close",t,{tooltip:e}),n.hiding||(n.closing=!1))):s.removeData("ui-tooltip-open")},_tooltip:function(t){var e=V("<div>").attr("role","tooltip"),i=V("<div>").appendTo(e),s=e.uniqueId().attr("id");return this._addClass(i,"ui-tooltip-content"),this._addClass(e,"ui-tooltip","ui-widget ui-widget-content"),e.appendTo(this._appendTo(t)),this.tooltips[s]={element:t,tooltip:e}},_find:function(t){t=t.data("ui-tooltip-id");return t?this.tooltips[t]:null},_removeTooltip:function(t){clearInterval(this.delayedShow),t.remove(),delete this.tooltips[t.attr("id")]},_appendTo:function(t){t=t.closest(".ui-front, dialog");return t=!t.length?this.document[0].body:t},_destroy:function(){var s=this;V.each(this.tooltips,function(t,e){var i=V.Event("blur"),e=e.element;i.target=i.currentTarget=e[0],s.close(i,!0),V("#"+t).remove(),e.data("ui-tooltip-title")&&(e.attr("title")||e.attr("title",e.data("ui-tooltip-title")),e.removeData("ui-tooltip-title"))}),this.liveRegion.remove()}}),!1!==V.uiBackCompat&&V.widget("ui.tooltip",V.ui.tooltip,{options:{tooltipClass:null},_tooltip:function(){var t=this._superApply(arguments);return this.options.tooltipClass&&t.tooltip.addClass(this.options.tooltipClass),t}});V.ui.tooltip});</script>
<style type="text/css">

.tocify {
width: 20%;
max-height: 90%;
overflow: auto;
margin-left: 2%;
position: fixed;
border: 1px solid #ccc;
border-radius: 6px;
}

.tocify ul, .tocify li {
list-style: none;
margin: 0;
padding: 0;
border: none;
line-height: 30px;
}

.tocify-header {
text-indent: 10px;
}

.tocify-subheader {
text-indent: 20px;
display: none;
}

.tocify-subheader li {
font-size: 12px;
}

.tocify-subheader .tocify-subheader {
text-indent: 30px;
}
.tocify-subheader .tocify-subheader .tocify-subheader {
text-indent: 40px;
}
.tocify-subheader .tocify-subheader .tocify-subheader .tocify-subheader {
text-indent: 50px;
}
.tocify-subheader .tocify-subheader .tocify-subheader .tocify-subheader .tocify-subheader {
text-indent: 60px;
}

.tocify .tocify-item > a, .tocify .nav-list .nav-header {
margin: 0px;
}

.tocify .tocify-item a, .tocify .list-group-item {
padding: 5px;
}
.tocify .nav-pills > li {
float: none;
}


</style>
<script>/* jquery Tocify - v1.9.1 - 2013-10-22
 * http://www.gregfranko.com/jquery.tocify.js/
 * Copyright (c) 2013 Greg Franko; Licensed MIT */

// Immediately-Invoked Function Expression (IIFE) [Ben Alman Blog Post](http://benalman.com/news/2010/11/immediately-invoked-function-expression/) that calls another IIFE that contains all of the plugin logic.  I used this pattern so that anyone viewing this code would not have to scroll to the bottom of the page to view the local parameters that were passed to the main IIFE.
(function(tocify) {

    // ECMAScript 5 Strict Mode: [John Resig Blog Post](http://ejohn.org/blog/ecmascript-5-strict-mode-json-and-more/)
    "use strict";

    // Calls the second IIFE and locally passes in the global jQuery, window, and document objects
    tocify(window.jQuery, window, document);

  }

  // Locally passes in `jQuery`, the `window` object, the `document` object, and an `undefined` variable.  The `jQuery`, `window` and `document` objects are passed in locally, to improve performance, since javascript first searches for a variable match within the local variables set before searching the global variables set.  All of the global variables are also passed in locally to be minifier friendly. `undefined` can be passed in locally, because it is not a reserved word in JavaScript.
  (function($, window, document, undefined) {

    // ECMAScript 5 Strict Mode: [John Resig Blog Post](http://ejohn.org/blog/ecmascript-5-strict-mode-json-and-more/)
    "use strict";

    var tocClassName = "tocify",
      tocClass = "." + tocClassName,
      tocFocusClassName = "tocify-focus",
      tocHoverClassName = "tocify-hover",
      hideTocClassName = "tocify-hide",
      hideTocClass = "." + hideTocClassName,
      headerClassName = "tocify-header",
      headerClass = "." + headerClassName,
      subheaderClassName = "tocify-subheader",
      subheaderClass = "." + subheaderClassName,
      itemClassName = "tocify-item",
      itemClass = "." + itemClassName,
      extendPageClassName = "tocify-extend-page",
      extendPageClass = "." + extendPageClassName;

    // Calling the jQueryUI Widget Factory Method
    $.widget("toc.tocify", {

      //Plugin version
      version: "1.9.1",

      // These options will be used as defaults
      options: {

        // **context**: Accepts String: Any jQuery selector
        // The container element that holds all of the elements used to generate the table of contents
        context: "body",

        // **ignoreSelector**: Accepts String: Any jQuery selector
        // A selector to any element that would be matched by selectors that you wish to be ignored
        ignoreSelector: null,

        // **selectors**: Accepts an Array of Strings: Any jQuery selectors
        // The element's used to generate the table of contents.  The order is very important since it will determine the table of content's nesting structure
        selectors: "h1, h2, h3",

        // **showAndHide**: Accepts a boolean: true or false
        // Used to determine if elements should be shown and hidden
        showAndHide: true,

        // **showEffect**: Accepts String: "none", "fadeIn", "show", or "slideDown"
        // Used to display any of the table of contents nested items
        showEffect: "slideDown",

        // **showEffectSpeed**: Accepts Number (milliseconds) or String: "slow", "medium", or "fast"
        // The time duration of the show animation
        showEffectSpeed: "medium",

        // **hideEffect**: Accepts String: "none", "fadeOut", "hide", or "slideUp"
        // Used to hide any of the table of contents nested items
        hideEffect: "slideUp",

        // **hideEffectSpeed**: Accepts Number (milliseconds) or String: "slow", "medium", or "fast"
        // The time duration of the hide animation
        hideEffectSpeed: "medium",

        // **smoothScroll**: Accepts a boolean: true or false
        // Determines if a jQuery animation should be used to scroll to specific table of contents items on the page
        smoothScroll: true,

        // **smoothScrollSpeed**: Accepts Number (milliseconds) or String: "slow", "medium", or "fast"
        // The time duration of the smoothScroll animation
        smoothScrollSpeed: "medium",

        // **scrollTo**: Accepts Number (pixels)
        // The amount of space between the top of page and the selected table of contents item after the page has been scrolled
        scrollTo: 0,

        // **showAndHideOnScroll**: Accepts a boolean: true or false
        // Determines if table of contents nested items should be shown and hidden while scrolling
        showAndHideOnScroll: true,

        // **highlightOnScroll**: Accepts a boolean: true or false
        // Determines if table of contents nested items should be highlighted (set to a different color) while scrolling
        highlightOnScroll: true,

        // **highlightOffset**: Accepts a number
        // The offset distance in pixels to trigger the next active table of contents item
        highlightOffset: 40,

        // **theme**: Accepts a string: "bootstrap", "jqueryui", or "none"
        // Determines if Twitter Bootstrap, jQueryUI, or Tocify classes should be added to the table of contents
        theme: "bootstrap",

        // **extendPage**: Accepts a boolean: true or false
        // If a user scrolls to the bottom of the page and the page is not tall enough to scroll to the last table of contents item, then the page height is increased
        extendPage: true,

        // **extendPageOffset**: Accepts a number: pixels
        // How close to the bottom of the page a user must scroll before the page is extended
        extendPageOffset: 100,

        // **history**: Accepts a boolean: true or false
        // Adds a hash to the page url to maintain history
        history: true,

        // **scrollHistory**: Accepts a boolean: true or false
        // Adds a hash to the page url, to maintain history, when scrolling to a TOC item
        scrollHistory: false,

        // **hashGenerator**: How the hash value (the anchor segment of the URL, following the
        // # character) will be generated.
        //
        // "compact" (default) - #CompressesEverythingTogether
        // "pretty" - #looks-like-a-nice-url-and-is-easily-readable
        // function(text, element){} - Your own hash generation function that accepts the text as an
        // argument, and returns the hash value.
        hashGenerator: "compact",

        // **highlightDefault**: Accepts a boolean: true or false
        // Set's the first TOC item as active if no other TOC item is active.
        highlightDefault: true

      },

      // _Create
      // -------
      //      Constructs the plugin.  Only called once.
      _create: function() {

        var self = this;

        self.extendPageScroll = true;

        // Internal array that keeps track of all TOC items (Helps to recognize if there are duplicate TOC item strings)
        self.items = [];

        // Generates the HTML for the dynamic table of contents
        self._generateToc();

        // Adds CSS classes to the newly generated table of contents HTML
        self._addCSSClasses();

        self.webkit = (function() {

          for (var prop in window) {

            if (prop) {

              if (prop.toLowerCase().indexOf("webkit") !== -1) {

                return true;

              }

            }

          }

          return false;

        }());

        // Adds jQuery event handlers to the newly generated table of contents
        self._setEventHandlers();

        // Binding to the Window load event to make sure the correct scrollTop is calculated
        $(window).on("load", function() {

          // Sets the active TOC item
          self._setActiveElement(true);

          // Once all animations on the page are complete, this callback function will be called
          $("html, body").promise().done(function() {

            setTimeout(function() {

              self.extendPageScroll = false;

            }, 0);

          });

        });

      },

      // _generateToc
      // ------------
      //      Generates the HTML for the dynamic table of contents
      _generateToc: function() {

        // _Local variables_

        // Stores the plugin context in the self variable
        var self = this,

          // All of the HTML tags found within the context provided (i.e. body) that match the top level jQuery selector above
          firstElem,

          // Instantiated variable that will store the top level newly created unordered list DOM element
          ul,
          ignoreSelector = self.options.ignoreSelector;


        // Determine the element to start the toc with
        // get all the top level selectors
        firstElem = [];
        var selectors = this.options.selectors.replace(/ /g, "").split(",");
        // find the first set that have at least one non-ignored element
        for(var i = 0; i < selectors.length; i++) {
          var foundSelectors = $(this.options.context).find(selectors[i]);
          for (var s = 0; s < foundSelectors.length; s++) {
            if (!$(foundSelectors[s]).is(ignoreSelector)) {
              firstElem = foundSelectors;
              break;
            }
          }
          if (firstElem.length> 0)
            break;
        }

        if (!firstElem.length) {

          self.element.addClass(hideTocClassName);

          return;

        }

        self.element.addClass(tocClassName);

        // Loops through each top level selector
        firstElem.each(function(index) {

          //If the element matches the ignoreSelector then we skip it
          if ($(this).is(ignoreSelector)) {
            return;
          }

          // Creates an unordered list HTML element and adds a dynamic ID and standard class name
          ul = $("<ul/>", {
            "id": headerClassName + index,
            "class": headerClassName
          }).

          // Appends a top level list item HTML element to the previously created HTML header
          append(self._nestElements($(this), index));

          // Add the created unordered list element to the HTML element calling the plugin
          self.element.append(ul);

          // Finds all of the HTML tags between the header and subheader elements
          $(this).nextUntil(this.nodeName.toLowerCase()).each(function() {

            // If there are no nested subheader elemements
            if ($(this).find(self.options.selectors).length === 0) {

              // Loops through all of the subheader elements
              $(this).filter(self.options.selectors).each(function() {

                //If the element matches the ignoreSelector then we skip it
                if ($(this).is(ignoreSelector)) {
                  return;
                }

                self._appendSubheaders.call(this, self, ul);

              });

            }

            // If there are nested subheader elements
            else {

              // Loops through all of the subheader elements
              $(this).find(self.options.selectors).each(function() {

                //If the element matches the ignoreSelector then we skip it
                if ($(this).is(ignoreSelector)) {
                  return;
                }

                self._appendSubheaders.call(this, self, ul);

              });

            }

          });

        });

      },

      _setActiveElement: function(pageload) {

        var self = this,

          hash = window.location.hash.substring(1),

          elem = self.element.find('li[data-unique="' + hash + '"]');

        if (hash.length) {

          // Removes highlighting from all of the list item's
          self.element.find("." + self.focusClass).removeClass(self.focusClass);

          // Highlights the current list item that was clicked
          elem.addClass(self.focusClass);

          // Triggers the click event on the currently focused TOC item
          elem.click();

        } else {

          // Removes highlighting from all of the list item's
          self.element.find("." + self.focusClass).removeClass(self.focusClass);

          if (!hash.length && pageload && self.options.highlightDefault) {

            // Highlights the first TOC item if no other items are highlighted
            self.element.find(itemClass).first().addClass(self.focusClass);

          }

        }

        return self;

      },

      // _nestElements
      // -------------
      //      Helps create the table of contents list by appending nested list items
      _nestElements: function(self, index) {

        var arr, item, hashValue;

        arr = $.grep(this.items, function(item) {

          return item === self.text();

        });

        // If there is already a duplicate TOC item
        if (arr.length) {

          // Adds the current TOC item text and index (for slight randomization) to the internal array
          this.items.push(self.text() + index);

        }

        // If there not a duplicate TOC item
        else {

          // Adds the current TOC item text to the internal array
          this.items.push(self.text());

        }

        hashValue = this._generateHashValue(arr, self, index);

        // Appends a list item HTML element to the last unordered list HTML element found within the HTML element calling the plugin
        item = $("<li/>", {

          // Sets a common class name to the list item
          "class": itemClassName,

          "data-unique": hashValue

        });

        if (this.options.theme !== "bootstrap3") {

          item.append($("<a/>", {

            "html": self.html()

          }));

        } else {

          item.html(self.html());

        }

        // Adds an HTML anchor tag before the currently traversed HTML element
        self.before($("<div/>", {

          // Sets a name attribute on the anchor tag to the text of the currently traversed HTML element (also making sure that all whitespace is replaced with an underscore)
          "name": hashValue,

          "data-unique": hashValue

        }));

        return item;

      },

      // _generateHashValue
      // ------------------
      //      Generates the hash value that will be used to refer to each item.
      _generateHashValue: function(arr, self, index) {

        var hashValue = "",
          hashGeneratorOption = this.options.hashGenerator;

        if (hashGeneratorOption === "pretty") {

          // prettify the text
          hashValue = self.text().toLowerCase().replace(/\s/g, "-");

          // fix double hyphens
          while (hashValue.indexOf("--") > -1) {
            hashValue = hashValue.replace(/--/g, "-");
          }

          // fix colon-space instances
          while (hashValue.indexOf(":-") > -1) {
            hashValue = hashValue.replace(/:-/g, "-");
          }

        } else if (typeof hashGeneratorOption === "function") {

          // call the function
          hashValue = hashGeneratorOption(self.text(), self);

        } else {

          // compact - the default
          hashValue = self.text().replace(/\s/g, "");

        }

        // add the index if we need to
        if (arr.length) {
          hashValue += "" + index;
        }

        // return the value
        return hashValue;

      },

      // _appendElements
      // ---------------
      //      Helps create the table of contents list by appending subheader elements

      _appendSubheaders: function(self, ul) {

        // The current element index
        var index = $(this).index(self.options.selectors),

          // Finds the previous header DOM element
          previousHeader = $(self.options.selectors).eq(index - 1),

          currentTagName = +$(this).prop("tagName").charAt(1),

          previousTagName = +previousHeader.prop("tagName").charAt(1),

          lastSubheader;

        // If the current header DOM element is smaller than the previous header DOM element or the first subheader
        if (currentTagName < previousTagName) {

          // Selects the last unordered list HTML found within the HTML element calling the plugin
          self.element.find(subheaderClass + "[data-tag=" + currentTagName + "]").last().append(self._nestElements($(this), index));

        }

        // If the current header DOM element is the same type of header(eg. h4) as the previous header DOM element
        else if (currentTagName === previousTagName) {

          ul.find(itemClass).last().after(self._nestElements($(this), index));

        } else {

          // Selects the last unordered list HTML found within the HTML element calling the plugin
          ul.find(itemClass).last().

          // Appends an unorderedList HTML element to the dynamic `unorderedList` variable and sets a common class name
          after($("<ul/>", {

            "class": subheaderClassName,

            "data-tag": currentTagName

          })).next(subheaderClass).

          // Appends a list item HTML element to the last unordered list HTML element found within the HTML element calling the plugin
          append(self._nestElements($(this), index));
        }

      },

      // _setEventHandlers
      // ----------------
      //      Adds jQuery event handlers to the newly generated table of contents
      _setEventHandlers: function() {

        // _Local variables_

        // Stores the plugin context in the self variable
        var self = this,

          // Instantiates a new variable that will be used to hold a specific element's context
          $self,

          // Instantiates a new variable that will be used to determine the smoothScroll animation time duration
          duration;

        // Event delegation that looks for any clicks on list item elements inside of the HTML element calling the plugin
        this.element.on("click.tocify", "li", function(event) {

          if (self.options.history) {

            window.location.hash = $(this).attr("data-unique");

          }

          // Removes highlighting from all of the list item's
          self.element.find("." + self.focusClass).removeClass(self.focusClass);

          // Highlights the current list item that was clicked
          $(this).addClass(self.focusClass);

          // If the showAndHide option is true
          if (self.options.showAndHide) {

            var elem = $('li[data-unique="' + $(this).attr("data-unique") + '"]');

            self._triggerShow(elem);

          }

          self._scrollTo($(this));

        });

        // Mouseenter and Mouseleave event handlers for the list item's within the HTML element calling the plugin
        this.element.find("li").on({

          // Mouseenter event handler
          "mouseenter.tocify": function() {

            // Adds a hover CSS class to the current list item
            $(this).addClass(self.hoverClass);

            // Makes sure the cursor is set to the pointer icon
            $(this).css("cursor", "pointer");

          },

          // Mouseleave event handler
          "mouseleave.tocify": function() {

            if (self.options.theme !== "bootstrap") {

              // Removes the hover CSS class from the current list item
              $(this).removeClass(self.hoverClass);

            }

          }
        });

        // only attach handler if needed (expensive in IE)
        if (self.options.extendPage || self.options.highlightOnScroll || self.options.scrollHistory || self.options.showAndHideOnScroll) {
          // Window scroll event handler
          $(window).on("scroll.tocify", function() {

            // Once all animations on the page are complete, this callback function will be called
            $("html, body").promise().done(function() {

              // Local variables

              // Stores how far the user has scrolled
              var winScrollTop = $(window).scrollTop(),

                // Stores the height of the window
                winHeight = $(window).height(),

                // Stores the height of the document
                docHeight = $(document).height(),

                scrollHeight = $("body")[0].scrollHeight,

                // Instantiates a variable that will be used to hold a selected HTML element
                elem,

                lastElem,

                lastElemOffset,

                currentElem;

              if (self.options.extendPage) {

                // If the user has scrolled to the bottom of the page and the last toc item is not focused
                if ((self.webkit && winScrollTop >= scrollHeight - winHeight - self.options.extendPageOffset) || (!self.webkit && winHeight + winScrollTop > docHeight - self.options.extendPageOffset)) {

                  if (!$(extendPageClass).length) {

                    lastElem = $('div[data-unique="' + $(itemClass).last().attr("data-unique") + '"]');

                    if (!lastElem.length) return;

                    // Gets the top offset of the page header that is linked to the last toc item
                    lastElemOffset = lastElem.offset().top;

                    // Appends a div to the bottom of the page and sets the height to the difference of the window scrollTop and the last element's position top offset
                    $(self.options.context).append($("<div/>", {

                      "class": extendPageClassName,

                      "height": Math.abs(lastElemOffset - winScrollTop) + "px",

                      "data-unique": extendPageClassName

                    }));

                    if (self.extendPageScroll) {

                      currentElem = self.element.find('li.' + self.focusClass);

                      self._scrollTo($('div[data-unique="' + currentElem.attr("data-unique") + '"]'));

                    }

                  }

                }

              }

              // The zero timeout ensures the following code is run after the scroll events
              setTimeout(function() {

                // _Local variables_

                // Stores the distance to the closest anchor
                var closestAnchorDistance = null,

                  // Stores the index of the closest anchor
                  closestAnchorIdx = null,

                  // Keeps a reference to all anchors
                  anchors = $(self.options.context).find("div[data-unique]"),

                  anchorText;

                // Determines the index of the closest anchor
                anchors.each(function(idx) {
                  var distance = Math.abs(($(this).next().length ? $(this).next() : $(this)).offset().top - winScrollTop - self.options.highlightOffset);
                  if (closestAnchorDistance == null || distance < closestAnchorDistance) {
                    closestAnchorDistance = distance;
                    closestAnchorIdx = idx;
                  } else {
                    return false;
                  }
                });

                anchorText = $(anchors[closestAnchorIdx]).attr("data-unique");

                // Stores the list item HTML element that corresponds to the currently traversed anchor tag
                elem = $('li[data-unique="' + anchorText + '"]');

                // If the `highlightOnScroll` option is true and a next element is found
                if (self.options.highlightOnScroll && elem.length) {

                  // Removes highlighting from all of the list item's
                  self.element.find("." + self.focusClass).removeClass(self.focusClass);

                  // Highlights the corresponding list item
                  elem.addClass(self.focusClass);

                }

                if (self.options.scrollHistory) {

                  if (window.location.hash !== "#" + anchorText) {

                    window.location.replace("#" + anchorText);

                  }
                }

                // If the `showAndHideOnScroll` option is true
                if (self.options.showAndHideOnScroll && self.options.showAndHide) {

                  self._triggerShow(elem, true);

                }

              }, 0);

            });

          });
        }

      },

      // Show
      // ----
      //      Opens the current sub-header
      show: function(elem, scroll) {

        // Stores the plugin context in the `self` variable
        var self = this,
          element = elem;

        // If the sub-header is not already visible
        if (!elem.is(":visible")) {

          // If the current element does not have any nested subheaders, is not a header, and its parent is not visible
          if (!elem.find(subheaderClass).length && !elem.parent().is(headerClass) && !elem.parent().is(":visible")) {

            // Sets the current element to all of the subheaders within the current header
            elem = elem.parents(subheaderClass).add(elem);

          }

          // If the current element does not have any nested subheaders and is not a header
          else if (!elem.children(subheaderClass).length && !elem.parent().is(headerClass)) {

            // Sets the current element to the closest subheader
            elem = elem.closest(subheaderClass);

          }

          //Determines what jQuery effect to use
          switch (self.options.showEffect) {

            //Uses `no effect`
            case "none":

              elem.show();

              break;

              //Uses the jQuery `show` special effect
            case "show":

              elem.show(self.options.showEffectSpeed);

              break;

              //Uses the jQuery `slideDown` special effect
            case "slideDown":

              elem.slideDown(self.options.showEffectSpeed);

              break;

              //Uses the jQuery `fadeIn` special effect
            case "fadeIn":

              elem.fadeIn(self.options.showEffectSpeed);

              break;

              //If none of the above options were passed, then a `jQueryUI show effect` is expected
            default:

              elem.show();

              break;

          }

        }

        // If the current subheader parent element is a header
        if (elem.parent().is(headerClass)) {

          // Hides all non-active sub-headers
          self.hide($(subheaderClass).not(elem));

        }

        // If the current subheader parent element is not a header
        else {

          // Hides all non-active sub-headers
          self.hide($(subheaderClass).not(elem.closest(headerClass).find(subheaderClass).not(elem.siblings())));

        }

        // Maintains chainablity
        return self;

      },

      // Hide
      // ----
      //      Closes the current sub-header
      hide: function(elem) {

        // Stores the plugin context in the `self` variable
        var self = this;

        //Determines what jQuery effect to use
        switch (self.options.hideEffect) {

          // Uses `no effect`
          case "none":

            elem.hide();

            break;

            // Uses the jQuery `hide` special effect
          case "hide":

            elem.hide(self.options.hideEffectSpeed);

            break;

            // Uses the jQuery `slideUp` special effect
          case "slideUp":

            elem.slideUp(self.options.hideEffectSpeed);

            break;

            // Uses the jQuery `fadeOut` special effect
          case "fadeOut":

            elem.fadeOut(self.options.hideEffectSpeed);

            break;

            // If none of the above options were passed, then a `jqueryUI hide effect` is expected
          default:

            elem.hide();

            break;

        }

        // Maintains chainablity
        return self;
      },

      // _triggerShow
      // ------------
      //      Determines what elements get shown on scroll and click
      _triggerShow: function(elem, scroll) {

        var self = this;

        // If the current element's parent is a header element or the next element is a nested subheader element
        if (elem.parent().is(headerClass) || elem.next().is(subheaderClass)) {

          // Shows the next sub-header element
          self.show(elem.next(subheaderClass), scroll);

        }

        // If the current element's parent is a subheader element
        else if (elem.parent().is(subheaderClass)) {

          // Shows the parent sub-header element
          self.show(elem.parent(), scroll);

        }

        // Maintains chainability
        return self;

      },

      // _addCSSClasses
      // --------------
      //      Adds CSS classes to the newly generated table of contents HTML
      _addCSSClasses: function() {

        // If the user wants a jqueryUI theme
        if (this.options.theme === "jqueryui") {

          this.focusClass = "ui-state-default";

          this.hoverClass = "ui-state-hover";

          //Adds the default styling to the dropdown list
          this.element.addClass("ui-widget").find(".toc-title").addClass("ui-widget-header").end().find("li").addClass("ui-widget-content");

        }

        // If the user wants a twitterBootstrap theme
        else if (this.options.theme === "bootstrap") {

          this.element.find(headerClass + "," + subheaderClass).addClass("nav nav-list");

          this.focusClass = "active";

        }

        // If the user wants a twitterBootstrap theme
        else if (this.options.theme === "bootstrap3") {

          this.element.find(headerClass + "," + subheaderClass).addClass("list-group");

          this.element.find(itemClass).addClass("list-group-item");

          this.focusClass = "active";

        }

        // If a user does not want a prebuilt theme
        else {

          // Adds more neutral classes (instead of jqueryui)

          this.focusClass = tocFocusClassName;

          this.hoverClass = tocHoverClassName;

        }

        //Maintains chainability
        return this;

      },

      // setOption
      // ---------
      //      Sets a single Tocify option after the plugin is invoked
      setOption: function() {

        // Calls the jQueryUI Widget Factory setOption method
        $.Widget.prototype._setOption.apply(this, arguments);

      },

      // setOptions
      // ----------
      //      Sets a single or multiple Tocify options after the plugin is invoked
      setOptions: function() {

        // Calls the jQueryUI Widget Factory setOptions method
        $.Widget.prototype._setOptions.apply(this, arguments);

      },

      // _scrollTo
      // ---------
      //      Scrolls to a specific element
      _scrollTo: function(elem) {

        var self = this,
          duration = self.options.smoothScroll || 0,
          scrollTo = self.options.scrollTo,
          currentDiv = $('div[data-unique="' + elem.attr("data-unique") + '"]');

        if (!currentDiv.length) {

          return self;

        }

        // Once all animations on the page are complete, this callback function will be called
        $("html, body").promise().done(function() {

          // Animates the html and body element scrolltops
          $("html, body").animate({

            // Sets the jQuery `scrollTop` to the top offset of the HTML div tag that matches the current list item's `data-unique` tag
            "scrollTop": currentDiv.offset().top - ($.isFunction(scrollTo) ? scrollTo.call() : scrollTo) + "px"

          }, {

            // Sets the smoothScroll animation time duration to the smoothScrollSpeed option
            "duration": duration

          });

        });

        // Maintains chainability
        return self;

      }

    });

  })); //end of plugin
</script>
<script>

/**
 * jQuery Plugin: Sticky Tabs
 *
 * @author Aidan Lister <aidan@php.net>
 * adapted by Ruben Arslan to activate parent tabs too
 * http://www.aidanlister.com/2014/03/persisting-the-tab-state-in-bootstrap/
 */
(function($) {
  "use strict";
  $.fn.rmarkdownStickyTabs = function() {
    var context = this;
    // Show the tab corresponding with the hash in the URL, or the first tab
    var showStuffFromHash = function() {
      var hash = window.location.hash;
      var selector = hash ? 'a[href="' + hash + '"]' : 'li.active > a';
      var $selector = $(selector, context);
      if($selector.data('toggle') === "tab") {
        $selector.tab('show');
        // walk up the ancestors of this element, show any hidden tabs
        $selector.parents('.section.tabset').each(function(i, elm) {
          var link = $('a[href="#' + $(elm).attr('id') + '"]');
          if(link.data('toggle') === "tab") {
            link.tab("show");
          }
        });
      }
    };


    // Set the correct tab when the page loads
    showStuffFromHash(context);

    // Set the correct tab when a user uses their back/forward button
    $(window).on('hashchange', function() {
      showStuffFromHash(context);
    });

    // Change the URL when tabs are clicked
    $('a', context).on('click', function(e) {
      history.pushState(null, null, this.href);
      showStuffFromHash(context);
    });

    return this;
  };
}(jQuery));

window.buildTabsets = function(tocID) {

  // build a tabset from a section div with the .tabset class
  function buildTabset(tabset) {

    // check for fade and pills options
    var fade = tabset.hasClass("tabset-fade");
    var pills = tabset.hasClass("tabset-pills");
    var navClass = pills ? "nav-pills" : "nav-tabs";

    // determine the heading level of the tabset and tabs
    var match = tabset.attr('class').match(/level(\d) /);
    if (match === null)
      return;
    var tabsetLevel = Number(match[1]);
    var tabLevel = tabsetLevel + 1;

    // find all subheadings immediately below
    var tabs = tabset.find("div.section.level" + tabLevel);
    if (!tabs.length)
      return;

    // create tablist and tab-content elements
    var tabList = $('<ul class="nav ' + navClass + '" role="tablist"></ul>');
    $(tabs[0]).before(tabList);
    var tabContent = $('<div class="tab-content"></div>');
    $(tabs[0]).before(tabContent);

    // build the tabset
    var activeTab = 0;
    tabs.each(function(i) {

      // get the tab div
      var tab = $(tabs[i]);

      // get the id then sanitize it for use with bootstrap tabs
      var id = tab.attr('id');

      // see if this is marked as the active tab
      if (tab.hasClass('active'))
        activeTab = i;

      // remove any table of contents entries associated with
      // this ID (since we'll be removing the heading element)
      $("div#" + tocID + " li a[href='#" + id + "']").parent().remove();

      // sanitize the id for use with bootstrap tabs
      id = id.replace(/[.\/?&!#<>]/g, '').replace(/\s/g, '_');
      tab.attr('id', id);

      // get the heading element within it, grab it's text, then remove it
      var heading = tab.find('h' + tabLevel + ':first');
      var headingText = heading.html();
      heading.remove();

      // build and append the tab list item
      var a = $('<a role="tab" data-toggle="tab">' + headingText + '</a>');
      a.attr('href', '#' + id);
      a.attr('aria-controls', id);
      var li = $('<li role="presentation"></li>');
      li.append(a);
      tabList.append(li);

      // set it's attributes
      tab.attr('role', 'tabpanel');
      tab.addClass('tab-pane');
      tab.addClass('tabbed-pane');
      if (fade)
        tab.addClass('fade');

      // move it into the tab content div
      tab.detach().appendTo(tabContent);
    });

    // set active tab
    $(tabList.children('li')[activeTab]).addClass('active');
    var active = $(tabContent.children('div.section')[activeTab]);
    active.addClass('active');
    if (fade)
      active.addClass('in');

    if (tabset.hasClass("tabset-sticky"))
      tabset.rmarkdownStickyTabs();
  }

  // convert section divs with the .tabset class to tabsets
  var tabsets = $("div.section.tabset");
  tabsets.each(function(i) {
    buildTabset($(tabsets[i]));
  });
};

</script>
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<h1 class="title toc-ignore">Replication Material: Why the Core of the
AfD’s Support Will Not Shift to the BSW: Explaining the Persistence of
Far-Right Support in Thuringia, 2024</h1>
<h4 class="author"></h4>
<h4 class="date">2025-11-24</h4>

</div>


<div id="data-cleaning-and-manipulation" class="section level1">
<h1>Data Cleaning and Manipulation</h1>
<div id="remove-respondents-non-eligible-to-vote" class="section level4">
<h4>Remove respondents non-eligible to vote</h4>
<pre class="r"><code># b/c they are actually not in our sampling frame
table(tm$recall_ltw, useNA = &quot;ifany&quot;) # 13 = non-eligible to vote</code></pre>
<pre><code>## 
##    1    2    3    4    5    6    7   10   11   12   13 &lt;NA&gt; 
##  239  232  447  154  131   20  206   70   99    6    7  213</code></pre>
<pre class="r"><code>tm &lt;- tm %&gt;%
  filter(is.na(recall_ltw) | recall_ltw != 13)
table(tm$recall_ltw, useNA = &quot;ifany&quot;) # check</code></pre>
<pre><code>## 
##    1    2    3    4    5    6    7   10   11   12 &lt;NA&gt; 
##  239  232  447  154  131   20  206   70   99    6  213</code></pre>
</div>
<div id="dvs-recall-question" class="section level4">
<h4>DVs: Recall question</h4>
<p>Our dependent variable is based on the vote recall question. From
this, we create two dummy variables: one indicating whether a respondent
voted for the AfD, and one for those who voted for BSW (Bündnis Sahra
Wagenknecht).</p>
<ul>
<li><code>recall_ltw</code> Which party did you vote for in the state
election or did you not vote in the election?
<ul>
<li>1 – The Left (Die Linke)<br />
</li>
<li>2 – AfD (Alternative for Germany)<br />
</li>
<li>3 – CDU (Christian Democratic Union)<br />
</li>
<li>4 – SPD (Social Democratic Party)<br />
</li>
<li>5 – Greens<br />
</li>
<li>6 – FDP (Free Democratic Party)<br />
</li>
<li>7 – BSW / Bündnis Sahra Wagenknecht<br />
</li>
<li>10 – Other Party<br />
</li>
<li>11 – Did not vote<br />
</li>
<li>12 – Cast invalid vote<br />
</li>
<li>13 – Not eligible to vote<br />
</li>
<li>77 – Does not apply<br />
</li>
<li>88 – Don’t know<br />
</li>
<li>99 – No answer</li>
</ul></li>
</ul>
<pre class="r"><code>tm &lt;- tm %&gt;% 
  mutate(recall_ltw_named = case_when(recall_ltw==1 ~&quot;Left&quot;,
                                      recall_ltw==2 ~&quot;AfD&quot;,
                                      recall_ltw==3 ~&quot;CDU&quot;,
                                      recall_ltw==4 ~&quot;SPD&quot;,
                                      recall_ltw==5 ~&quot;Greens&quot;,
                                      recall_ltw==6 ~&quot;FDP&quot;,
                                      recall_ltw==7 ~&quot;BSW&quot;,
                                      recall_ltw==10 ~&quot;Other&quot;,
                                      recall_ltw==11 ~&quot;non-voter&quot;,
                                      recall_ltw==12 ~NA),
         afd = ifelse(recall_ltw_named==&quot;AfD&quot;,1,0),
         bsw = ifelse(recall_ltw_named==&quot;BSW&quot;,1,0),
         across(c(afd, bsw),
                ~factor(.x,
                      levels = c(0,1),
                      labels = c(&quot;no&quot;,&quot;yes&quot;))),
         recall_voters_only = replace(recall_ltw_named, recall_ltw_named==&quot;non-voter&quot;,NA) # voters only to check representativness of sample vs. election result
  )</code></pre>
<div id="check-share-of-voters-by-party-representativeness-of-sample-according-to-election-results" class="section level5">
<h5>Check share of voters by party (representativeness of sample
according to election results)</h5>
<p>First, let’s take a look at the number of AfD and BSW voters in our
sample:</p>
<pre class="r"><code>table(tm$recall_ltw_named)</code></pre>
<pre><code>## 
##       AfD       BSW       CDU       FDP    Greens      Left non-voter     Other 
##       232       206       447        20       131       239        99        70 
##       SPD 
##       154</code></pre>
<p>To check the representativeness of our sample in terms of vote
choice, we exclude non-voters and look at the voters in our dataset
only.</p>
<pre class="r"><code># unweighted share - without the non-voters
round(prop.table(table(tm$recall_voters_only))*100,1)</code></pre>
<pre><code>## 
##    AfD    BSW    CDU    FDP Greens   Left  Other    SPD 
##   15.5   13.7   29.8    1.3    8.7   15.9    4.7   10.3</code></pre>
<pre class="r"><code># weighted share
tm_w &lt;- svydesign(id=~0, weights=~persgew, data = tm)
absolute &lt;- svytable(~recall_voters_only, tm_w)
round(prop.table(absolute)*100,1)</code></pre>
<pre><code>## recall_voters_only
##    AfD    BSW    CDU    FDP Greens   Left  Other    SPD 
##   21.7   13.6   32.7    0.6    4.0   13.5    4.6    9.4</code></pre>
<p>BSW voters are well represented in our data, making up 13.7%
(unweighted) / 13.6% (weighted) of respondents, compared to their actual
election result of 15.8%. While AfD voters are numerous in our data,
they are underrepresented: they account for only 15.5% / 21.7% in the
data, whereas their actual vote share was 32.8%.</p>
</div>
</div>
<div id="ivs-and-controls" class="section level4">
<h4>IVs and Controls</h4>
<p>The following independent variables and controls were introduced, if
not indicated otherwise, items were rated on a 4-pint scale (1=fully
disagree, 4=fully agree)</p>
<ul>
<li><p><code>anti_immigration</code>is a mean index with one missing
allowed consisting of the following items:</p>
<ul>
<li><code>V12A</code> Foreigners only come to Germany to abuse the
welfare state.</li>
<li><code>V12B</code> Germany is dominated by foreigners to a dangerous
degree.</li>
<li><code>V12MU</code> Muslims should be banned from immigrating to
Germany.</li>
<li><code>V469</code> Cultural differences prevent most refugees and
asylum seekers from successfully integrating into Germany.</li>
<li><code>V356C</code> Immigrants living in Germany should be allowed to
maintain their lifestyle, even if it differs from that of Germans.
(reverse)</li>
</ul></li>
<li><p><code>anti-feminism</code> was operationalized creating a dummy
variable from the item <code>V12KAF</code> Feminism systematically
disadvantages men in our society.</p></li>
<li><p><code>anti-trans</code> was operationalized creating a dummy
variable from the item <code>V12TS</code> It is okay for people to
undergo gender changes, for example, through surgeries and hormone
treatments. (reverse coded)</p></li>
<li><p>Far-right attitudes <code>REX</code> are coded based on 10 items
that form two subscales - each subscale is a mean index with one missing
allowed</p>
<ul>
<li>Ethnocentrism <code>Ethno</code></li>
<li><code>V12A</code> Foreigners only come to Germany to abuse the
welfare state.</li>
<li><code>V12B</code> Germany is dominated by foreigners to a dangerous
degree.</li>
<li><code>V12C</code> What we need in our country is to forcefully and
aggressively assert German interests toward foreign countries.</li>
<li><code>V12E</code> Other countries don’t match Germany’s
achievements.</li>
<li>Neo-Nazi ideology <code>NSIdeo</code></li>
<li><code>V12D</code> For the national interest, a dictatorship is under
certain conditions the best form of government.</li>
<li><code>V12F</code> Foreigners ought to marry only among
themselves.</li>
<li><code>V12G</code> There is worthy and unworthy life.</li>
<li><code>V12H</code> National Socialism had its positive aspects.</li>
<li><code>V12I</code> The Jews are just peculiar and don’t really fit in
with us.</li>
<li><code>V12J</code> As in nature, in society the fittest should
win.</li>
</ul></li>
<li><p><code>swd_gr</code> Dissatisfaction with democracy was
operationalized creating a dummy variable from the item <code>V07</code>
How satisfied or dissatisfied are you with democracy as it functions in
practice in Germany? (1=very dissatisfied, 4=very satisfied, reverse
coded)</p></li>
<li><p><code>pol_distrust</code> Political distrust is a mean scale with
one missing allowed, consisting of 3 items that were each measured on a
5-point response scale: I now read to you a number of public facilities.
Please tell me for each one whether you trust it fully, largely trust
it, partially trust it, rather not trust it, or not trust it at all. The
scale was reversed, so that higher values measure distrust.´</p>
<ul>
<li><code>V09A</code> How is that with the federal government?</li>
<li><code>V09B</code> How is that with the regional government?</li>
<li><code>V09BT</code> How is that with the federal parliament (German
Bundestag)?</li>
</ul></li>
<li><p>Place-based resentment <code>RR</code> is a mean scale with one
missing allowed, consisting of three items - one for the economic,
political, and cultural dimension of the concept</p>
<ul>
<li><code>RR1B</code> Politicians in Berlin have done too little to
improve the economic situation in my region. (economic)</li>
<li><code>RR2B</code> People in the rest of Germany don’t understand or
respect how people in my region live. (cultural)</li>
<li><code>RR4B</code> Politicians in Berlin do not care about the region
where I live. (political)</li>
</ul></li>
<li><p><code>gdr</code> GDR nostalgia was operationalized creating a
dummy variable from the item <code>V10</code> The GDR had more good than
bad sides.</p></li>
<li><p><code>second_class</code> was created as a dummy variable from
the item <code>V18</code> West Germans treat East Germans as
second-class citizens.</p></li>
<li><p><code>fin_sit</code> was created as a dummy variable from the
item <code>V02</code> When you think about your own financial situation,
would you say it is very good, good, somewhat poor, or bad?</p></li>
<li><p><code>fair_share</code> was created as a dummy variable from the
item <code>V131</code> I worry that, due to societal developments, I
will end up on the losing side of life.</p></li>
<li><p><code>status_anx</code> was created as a dummy variable from the
item <code>V12L</code> Compared to how others in Germany live, do you
think you personally receive your fair share, more than your fair share,
slightly less, or much less?</p></li>
<li><p><code>econ_situation_th</code> was created as a dummy variable
from the item <code>V01</code> What is your general assessment of the
current economic situation in Thuringia?</p></li>
<li><p>Additional controls include age (<code>alter</code>), gender
(<code>gender</code>), education (<code>edu_gr</code>), occupation
(<code>unempolyed</code>, <code>manual_worker</code>)</p></li>
</ul>
<pre class="r"><code># cultural conservatism

# reverse
tm &lt;- tm %&gt;% 
  mutate(
    V12N_rev = 5-V12N,
    V356C_rev = 5-V356C,
    V12TS_rev = 5-V12TS # anti-trans
  )

# check NAs
colSums(is.na(tm[,c(&quot;V12A&quot;, &quot;V12B&quot;, &quot;V12N_rev&quot;, &quot;V12MU&quot;, &quot;V469&quot;, &quot;V356C_rev&quot;)]))</code></pre>
<pre><code>##      V12A      V12B  V12N_rev     V12MU      V469 V356C_rev 
##        83        88       336       139       110       131</code></pre>
<pre class="r"><code># =&gt; We have many NAs for V12N (336) =&gt; let&#39;s not use that item in the mean index then


# recodes
tm &lt;- tm %&gt;% 
  mutate(anti_immigration = ifelse(
    (is.na(V12A) + is.na(V12B) + is.na(V12MU) + is.na(V469) + is.na(V356C_rev)) &gt; 1, NA,
                            rowMeans(across(
                              c(V12A, V12B, V12MU, V469, V356C_rev)), na.rm=T)),
         V12KAF = replace(V12KAF, V12KAF&gt;87, NA),
         anti_feminism = ifelse(V12KAF&gt;2,1,0), # agree=anti-feminist
         anti_trans = ifelse(V12TS_rev&gt;2,1,0), # agree=anti-trans
         across(c(anti_feminism, anti_trans),
           ~factor(.x,
                   levels = c(0,1),
                   labels = c(&quot;disagree&quot;, &quot;agree&quot;)))
           )


# Far-right attitudes 
# We code 3 mean scales: Far-right attitudes, Ethnocentrism (1 missing allowed), Neo-Nazi ideology (1 missing allowed)
# Far-right attitudes scale = based on the 2 prev. mean scales
# Dummies for the crosstabs

tm &lt;-tm %&gt;% 
  mutate(Ethno = ifelse((is.na(V12A) + is.na(V12B) + is.na(V12C) + is.na(V12E)) &gt; 1, NA, 
                         rowMeans(across(
                           c(V12A, V12B, V12C, V12E)), na.rm=T)),
         NSIdeo = ifelse((is.na(V12D) + is.na(V12F) + is.na(V12G) + is.na(V12H) + is.na(V12I) + is.na(V12J)) &gt; 1, NA,
                          rowMeans(across(
                            c(V12D, V12F, V12G, V12H, V12I, V12J)), na.rm=T)),
         REX = (Ethno+NSIdeo)/2, # REX mean index
         REXgr = ifelse(REX&gt;2.5,1,0), # REX Dummy
         REXgr = factor(REXgr,
                        levels = c(0,1),
                        labels = c(&quot;not far-right&quot;, &quot;far-right&quot;)),
         Ethnogr = ifelse(Ethno&gt;2.5,1,0), # Ethno Dummy
         Ethnogr = factor(Ethnogr,
                          levels = c(0,1),
                          labels = c(&quot;no etnocentrism&quot;, &quot;ethnocentrism&quot;)),
         NSIdeogr = ifelse(NSIdeo&gt;2.5,1,0), # NS-Ideo Dummy
         NSIdeogr = factor(NSIdeogr,
                           levels = c(0,1),
                           labels = c(&quot;no neo-Nazi ideology&quot;, &quot;neo-Nazi ideology&quot;))
  ) 


# political grievances
## alternative operationalizations dissatisfaction politics
# reverse
tm$v699_rev &lt;- 5-tm$V699

# recodes
tm &lt;- tm %&gt;% 
  mutate(second_class = ifelse(V18&gt;2,1,0),
         second_class = factor(second_class,
                               levels = c(0,1),
                               labels = c(&quot;disagree&quot;, &quot;agree&quot;)),
         gdr = ifelse(V10&gt;2,1,0),
         gdr = factor(gdr,
                      levels = c(0,1),
                      labels = c(&quot;no nostalgia&quot;, &quot;nostalgia&quot;)),
         V07 = replace(V07, tm$V07&gt;87, NA),
         swd_gr = ifelse(V07&gt;2,1,0),
         swd_gr = factor(swd_gr,
                         levels = c(0,1),
                         labels = c(&quot;dissatisfied&quot;, &quot;satisfied&quot;)),
         swd_gr = relevel(swd_gr, ref = &quot;satisfied&quot;),
         pol_trust = ifelse((is.na(V09A) + is.na(V09B) + is.na(V09BT)) &gt; 1, NA,
                            rowMeans(across(
                              c(V09A, V09B, V09BT)), na.rm=T)),
         pol_distrust = 6-pol_trust, # reverse it, so we get distrust as high values
         dissat_parties = ifelse(V17&gt;2,1,0),
         dissat_parties = factor(dissat_parties,
                                 levels=c(0,1),
                                 labels = c(&quot;disagree&quot;, &quot;agree&quot;)),
         dissat_parties = relevel(dissat_parties,ref=&quot;disagree&quot;), # reference category agree = dissatisfaction 
         ext_effic = ifelse(V139J&gt;2,1,0),
         ext_effic = factor(ext_effic,,
                            levels=c(0,1),
                            labels = c(&quot;high&quot;, &quot;low&quot;)),
         ext_effic = relevel(ext_effic,ref=&quot;high&quot;), # reference category
         responsive = ifelse(v699_rev&gt;2,1,0), # Die Politiker bemühen sich NICHT darum...
         responsive = factor(responsive,
                             levels=c(0,1),
                             labels = c(&quot;disagree&quot;, &quot;agree&quot;)),
         responsive = relevel(responsive,ref=&quot;disagree&quot;), # agree=low responsiveness
         RR = ifelse((is.na(RR1B) + is.na(RR2B) + is.na(RR4B)) &gt; 1, NA,
                     rowMeans(across(
                       c(RR1B, RR2B, RR4B)), na.rm=T)),
         dev_community = as.numeric(SL_VER),
         dev_community = 6-dev_community # reversing it would be in line with the place-based resentment argument
  )


# Socio-demographics and other controls
tm &lt;- tm %&gt;% 
  mutate(gender = case_when(sex==1~0, # =&gt; make &quot;divers&quot; = NA
                            sex==2~1,
                            sex==3 |
                              sex==4~NA),
         gender = factor(gender,
                         levels = c(0,1),
                         labels = c(&quot;male&quot;, &quot;female&quot;)),
         edu_gr = ifelse(bildung_neu&gt;4,1,0),
         edu_gr = factor(edu_gr,
                         levels = c(0,1),
                         labels = c(&quot;no Abitur&quot;, &quot;Abitur or higher&quot;)),
         edu_gr = relevel(edu_gr, ref = &quot;Abitur or higher&quot;), # reference category
         alter = as.numeric(alter),
         fin_sit = ifelse(V02&gt;2,1,0),
         fin_sit = factor(fin_sit,
                          levels = c(0,1),
                          labels = c(&quot;bad&quot;, &quot;good&quot;)),
         fin_sit = relevel(fin_sit, ref=&quot;good&quot;), # reference category
         fair_share = ifelse(V131&gt;2,1,0),
         V12L = replace(V12L, V12L&gt;87, NA),
         status_anx = ifelse(V12L&gt;2,1,0),
         unemployed = ifelse(berufttg==5,1,0), # 5 = unemployed
         beruf_new = ifelse(is.na(beruf), 99, as.numeric(beruf)), # make sure to include pensioneers etc. 
         manual_worker = ifelse(beruf_new==1,1,0),
         across(c(fair_share, status_anx, unemployed, manual_worker),
                ~factor(.x,
                        levels = c(0,1),
                        labels = c(&quot;no&quot;, &quot;yes&quot;))),
         unemployed = relevel(unemployed, ref=&quot;no&quot;), # reference category
         fair_share = relevel(fair_share, ref=&quot;yes&quot;), # reference category
         manual_worker = relevel(manual_worker, ref=&quot;no&quot;), # reference category
         V01 = replace(V01, tm$V01&gt;87, NA),
         econ_situation_th = ifelse(V01&gt;2,1,0),
         econ_situation_th = factor(econ_situation_th,
                                        levels = c(0,1),
                                        labels = c(&quot;bad&quot;, &quot;good&quot;)),
         econ_situation_th = relevel(econ_situation_th, ref = &quot;good&quot;), # reference category
         lr = as.numeric(V19), # 7 = far-right
  )


# store all in tm_all as backup to select diff variables in diff model specifications
tm_all &lt;- tm # store one df with all</code></pre>
</div>
</div>
<div id="bivariate-analysis" class="section level1">
<h1>Bivariate Analysis</h1>
<pre class="r"><code>## Cultural and political grievances
# Select vars we need
tm &lt;- tm_all %&gt;% 
  select(alter, gender, edu_gr, lr, fin_sit, fair_share, status_anx, anti_immigration, anti_feminism, anti_trans, econ_situation_th, second_class, gdr, swd_gr, pol_distrust, RR, afd, bsw, recall_ltw_named, persgew)

# data w/o NAs
tm &lt;- tm %&gt;% 
  drop_na()

# Surveydesign object
tm_w &lt;- svydesign(id=~1, weights=~persgew, data = tm) 

## Far-right
# select vars we need
tm_rex &lt;- tm_all %&gt;% 
  select(REX, REXgr, Ethno, Ethnogr, NSIdeo, NSIdeogr, persgew, recall_ltw_named, afd, bsw)

# drop NA 
tm_rex &lt;- tm_rex %&gt;% 
  drop_na() 

# surveydesign object
tm_rex_w &lt;- svydesign(id=~1, weights=~persgew, data = tm_rex)</code></pre>
<div id="bivariate-analysis-cultural-conservatism" class="section level4">
<h4>Bivariate analysis cultural conservatism</h4>
<pre class="r"><code># Cultural conservatism
## Anti-immigrant
list(
  # with indep_test from wdm
  afd_wdm=indep_test(as.numeric(tm$afd), tm$anti_immigration,
           weights = tm$persgew,
           method = &quot;pearson&quot;),
  bsw_wdm=indep_test(as.numeric(tm$bsw), tm$anti_immigration,
           weights = tm$persgew,
           method = &quot;pearson&quot;),
  # for robustness reasons, let&#39;s use the more conservative svycor (jtools) as well...
  afd_svycor=svycor(~as.numeric(afd)+anti_immigration, design=tm_w,
       sig.stats=T),
  bsw_svycor=svycor(~as.numeric(bsw)+anti_immigration, design=tm_w,
       sig.stats=T)
)</code></pre>
<pre><code>## Registered S3 method overwritten by &#39;gdata&#39;:
##   method         from     
##   reorder.factor DescTools</code></pre>
<pre><code>## $afd_wdm
##    estimate statistic                       p_value   n_eff  method alternative
## 1 0.4378839  9.374496 0.000000000000000000006950696 401.494 pearson   two-sided
## 
## $bsw_wdm
##     estimate statistic   p_value   n_eff  method alternative
## 1 0.01768192 0.3530088 0.7240818 401.494 pearson   two-sided
## 
## $afd_svycor
##                  as.numeric(afd) anti_immigration
## as.numeric(afd)  1               0.44*           
## anti_immigration 0.44*           1               
## 
## $bsw_svycor
##                  as.numeric(bsw) anti_immigration
## as.numeric(bsw)  1               0.02            
## anti_immigration 0.02            1</code></pre>
<pre class="r"><code>## Anti feminism
absolute &lt;- svytable(~anti_feminism+recall_ltw_named, tm_w)
percent &lt;- round(prop.table(absolute,2)*100,1)
df &lt;- as.data.frame.matrix(percent)

kable(df, 
      caption = &quot;Column Percentages: Anti-feminist Attitudes by Recall&quot;,
      digits = 1) </code></pre>
<table>
<caption>Column Percentages: Anti-feminist Attitudes by Recall</caption>
<thead>
<tr class="header">
<th align="left"></th>
<th align="right">AfD</th>
<th align="right">BSW</th>
<th align="right">CDU</th>
<th align="right">FDP</th>
<th align="right">Greens</th>
<th align="right">Left</th>
<th align="right">non-voter</th>
<th align="right">Other</th>
<th align="right">SPD</th>
</tr>
</thead>
<tbody>
<tr class="odd">
<td align="left">disagree</td>
<td align="right">63.9</td>
<td align="right">85</td>
<td align="right">83.5</td>
<td align="right">92</td>
<td align="right">99</td>
<td align="right">89.2</td>
<td align="right">79.4</td>
<td align="right">76.7</td>
<td align="right">96.8</td>
</tr>
<tr class="even">
<td align="left">agree</td>
<td align="right">36.1</td>
<td align="right">15</td>
<td align="right">16.5</td>
<td align="right">8</td>
<td align="right">1</td>
<td align="right">10.8</td>
<td align="right">20.6</td>
<td align="right">23.3</td>
<td align="right">3.2</td>
</tr>
</tbody>
</table>
<pre class="r"><code>## Anti-trans
absolute &lt;- svytable(~anti_trans+recall_ltw_named, tm_w)
percent &lt;- round(prop.table(absolute,2)*100,1)
df &lt;- as.data.frame.matrix(percent)

kable(df, 
      caption = &quot;Column Percentages: Anti-trans Attitudes by Recall&quot;,
      digits = 1)</code></pre>
<table>
<caption>Column Percentages: Anti-trans Attitudes by Recall</caption>
<colgroup>
<col width="14%" />
<col width="8%" />
<col width="8%" />
<col width="8%" />
<col width="8%" />
<col width="11%" />
<col width="8%" />
<col width="16%" />
<col width="9%" />
<col width="8%" />
</colgroup>
<thead>
<tr class="header">
<th align="left"></th>
<th align="right">AfD</th>
<th align="right">BSW</th>
<th align="right">CDU</th>
<th align="right">FDP</th>
<th align="right">Greens</th>
<th align="right">Left</th>
<th align="right">non-voter</th>
<th align="right">Other</th>
<th align="right">SPD</th>
</tr>
</thead>
<tbody>
<tr class="odd">
<td align="left">disagree</td>
<td align="right">55.8</td>
<td align="right">79.6</td>
<td align="right">78.3</td>
<td align="right">96.6</td>
<td align="right">99.7</td>
<td align="right">96.8</td>
<td align="right">79.8</td>
<td align="right">83.7</td>
<td align="right">82.2</td>
</tr>
<tr class="even">
<td align="left">agree</td>
<td align="right">44.2</td>
<td align="right">20.4</td>
<td align="right">21.7</td>
<td align="right">3.4</td>
<td align="right">0.3</td>
<td align="right">3.2</td>
<td align="right">20.2</td>
<td align="right">16.3</td>
<td align="right">17.8</td>
</tr>
</tbody>
</table>
</div>
<div id="bivariate-analysis-political-grievances" class="section level4">
<h4>Bivariate analysis political grievances</h4>
<pre class="r"><code>## SWD
absolute &lt;- svytable(~swd_gr+recall_ltw_named, tm_w)
percent &lt;- round(prop.table(absolute,2)*100,1)
df &lt;- as.data.frame.matrix(percent)

kable(df, 
      caption = &quot;Column Percentages: Dissatisfaction with Democracy by Recall&quot;,
      digits = 1)</code></pre>
<table>
<caption>Column Percentages: Dissatisfaction with Democracy by
Recall</caption>
<colgroup>
<col width="19%" />
<col width="7%" />
<col width="7%" />
<col width="7%" />
<col width="7%" />
<col width="10%" />
<col width="7%" />
<col width="15%" />
<col width="9%" />
<col width="7%" />
</colgroup>
<thead>
<tr class="header">
<th align="left"></th>
<th align="right">AfD</th>
<th align="right">BSW</th>
<th align="right">CDU</th>
<th align="right">FDP</th>
<th align="right">Greens</th>
<th align="right">Left</th>
<th align="right">non-voter</th>
<th align="right">Other</th>
<th align="right">SPD</th>
</tr>
</thead>
<tbody>
<tr class="odd">
<td align="left">satisfied</td>
<td align="right">8.3</td>
<td align="right">25.7</td>
<td align="right">55.1</td>
<td align="right">91.1</td>
<td align="right">75.2</td>
<td align="right">62.1</td>
<td align="right">43.6</td>
<td align="right">31.2</td>
<td align="right">84.7</td>
</tr>
<tr class="even">
<td align="left">dissatisfied</td>
<td align="right">91.7</td>
<td align="right">74.3</td>
<td align="right">44.9</td>
<td align="right">8.9</td>
<td align="right">24.8</td>
<td align="right">37.9</td>
<td align="right">56.4</td>
<td align="right">68.8</td>
<td align="right">15.3</td>
</tr>
</tbody>
</table>
<pre class="r"><code>## Distrust
list(
  # with indep_test from wdm
  afd_wdm=indep_test(as.numeric(tm$afd), tm$pol_distrust,
           weights = tm$persgew,
           method = &quot;pearson&quot;),
  bsw_wdm=indep_test(as.numeric(tm$bsw), tm$pol_distrust,
           weights = tm$persgew,
           method = &quot;pearson&quot;),
  # for robustness reasons, let&#39;s use the more conservative svycor (jtools) as well...
  afd_svycor=svycor(~as.numeric(afd)+pol_distrust, design=tm_w,
       sig.stats=T),
  bsw_svycor=svycor(~as.numeric(bsw)+pol_distrust, design=tm_w,
       sig.stats=T)
)</code></pre>
<pre><code>## $afd_wdm
##   estimate statistic                            p_value   n_eff  method
## 1 0.485833  10.59183 0.00000000000000000000000003251625 401.494 pearson
##   alternative
## 1   two-sided
## 
## $bsw_wdm
##   estimate statistic   p_value   n_eff  method alternative
## 1 0.061124  1.221699 0.2218213 401.494 pearson   two-sided
## 
## $afd_svycor
##                 as.numeric(afd) pol_distrust
## as.numeric(afd) 1               0.49*       
## pol_distrust    0.49*           1           
## 
## $bsw_svycor
##                 as.numeric(bsw) pol_distrust
## as.numeric(bsw) 1               0.06*       
## pol_distrust    0.06*           1</code></pre>
<pre class="r"><code># Placce-based resentment
list(
  # with indep_test from wdm
  afd_wdm=indep_test(as.numeric(tm$afd), tm$RR,
           weights = tm$persgew,
           method = &quot;pearson&quot;),
  bsw_wdm=indep_test(as.numeric(tm$bsw), tm$RR,
           weights = tm$persgew,
           method = &quot;pearson&quot;),
  # for robustness reasons, let&#39;s use the more conservative svycor (jtools) as well...
  afd_svycor=svycor(~as.numeric(afd)+RR, design=tm_w,
       sig.stats=T),
  bsw_svycor=svycor(~as.numeric(bsw)+RR, design=tm_w,
       sig.stats=T)
)</code></pre>
<pre><code>## $afd_wdm
##    estimate statistic            p_value   n_eff  method alternative
## 1 0.3057044  6.304101 0.0000000002898712 401.494 pearson   two-sided
## 
## $bsw_wdm
##     estimate statistic   p_value   n_eff  method alternative
## 1 0.05326418  1.064283 0.2872003 401.494 pearson   two-sided
## 
## $afd_svycor
##                 as.numeric(afd) RR   
## as.numeric(afd) 1               0.31*
## RR              0.31*           1    
## 
## $bsw_svycor
##                 as.numeric(bsw) RR  
## as.numeric(bsw) 1               0.05
## RR              0.05            1</code></pre>
<pre class="r"><code>## East German-identity-related grievances
absolute&lt;- svytable(~gdr+recall_ltw_named, tm_w)
percent &lt;- round(prop.table(absolute,2)*100,1)
df &lt;- as.data.frame.matrix(percent)

kable(df, 
      caption = &quot;Column Percentages: GDR nostalgia by Recall&quot;,
      digits = 1)</code></pre>
<table>
<caption>Column Percentages: GDR nostalgia by Recall</caption>
<colgroup>
<col width="20%" />
<col width="7%" />
<col width="7%" />
<col width="7%" />
<col width="7%" />
<col width="10%" />
<col width="7%" />
<col width="15%" />
<col width="9%" />
<col width="6%" />
</colgroup>
<thead>
<tr class="header">
<th align="left"></th>
<th align="right">AfD</th>
<th align="right">BSW</th>
<th align="right">CDU</th>
<th align="right">FDP</th>
<th align="right">Greens</th>
<th align="right">Left</th>
<th align="right">non-voter</th>
<th align="right">Other</th>
<th align="right">SPD</th>
</tr>
</thead>
<tbody>
<tr class="odd">
<td align="left">no nostalgia</td>
<td align="right">42.2</td>
<td align="right">43.7</td>
<td align="right">66.2</td>
<td align="right">77.2</td>
<td align="right">81.9</td>
<td align="right">65</td>
<td align="right">57.2</td>
<td align="right">59.3</td>
<td align="right">75</td>
</tr>
<tr class="even">
<td align="left">nostalgia</td>
<td align="right">57.8</td>
<td align="right">56.3</td>
<td align="right">33.8</td>
<td align="right">22.8</td>
<td align="right">18.1</td>
<td align="right">35</td>
<td align="right">42.8</td>
<td align="right">40.7</td>
<td align="right">25</td>
</tr>
</tbody>
</table>
<pre class="r"><code>absolute &lt;- svytable(~second_class+recall_ltw_named, tm_w)
percent &lt;- round(prop.table(absolute,2)*100,1)
df &lt;- as.data.frame.matrix(percent)

kable(df, 
      caption = &quot;Column Percentages: Collective deprivation by Recall&quot;,
      digits = 1)</code></pre>
<table>
<caption>Column Percentages: Collective deprivation by Recall</caption>
<thead>
<tr class="header">
<th align="left"></th>
<th align="right">AfD</th>
<th align="right">BSW</th>
<th align="right">CDU</th>
<th align="right">FDP</th>
<th align="right">Greens</th>
<th align="right">Left</th>
<th align="right">non-voter</th>
<th align="right">Other</th>
<th align="right">SPD</th>
</tr>
</thead>
<tbody>
<tr class="odd">
<td align="left">disagree</td>
<td align="right">33</td>
<td align="right">40.3</td>
<td align="right">52.9</td>
<td align="right">91.1</td>
<td align="right">68.9</td>
<td align="right">58.8</td>
<td align="right">44.9</td>
<td align="right">42.5</td>
<td align="right">71.8</td>
</tr>
<tr class="even">
<td align="left">agree</td>
<td align="right">67</td>
<td align="right">59.7</td>
<td align="right">47.1</td>
<td align="right">8.9</td>
<td align="right">31.1</td>
<td align="right">41.2</td>
<td align="right">55.1</td>
<td align="right">57.5</td>
<td align="right">28.2</td>
</tr>
</tbody>
</table>
</div>
<div id="crosstables-far-right-attitudes-by-recall" class="section level4">
<h4>Crosstables far-right attitudes by recall</h4>
<pre class="r"><code>absolute &lt;- svytable(~REXgr+recall_ltw_named, tm_rex_w)
percent &lt;- round(prop.table(absolute,2)*100,1)
df &lt;- as.data.frame.matrix(percent)

kable(df, 
      caption = &quot;Column Percentages: Far-right Attitudes by Recall&quot;,
      digits = 1)</code></pre>
<table>
<caption>Column Percentages: Far-right Attitudes by Recall</caption>
<colgroup>
<col width="21%" />
<col width="7%" />
<col width="7%" />
<col width="6%" />
<col width="7%" />
<col width="10%" />
<col width="7%" />
<col width="15%" />
<col width="9%" />
<col width="7%" />
</colgroup>
<thead>
<tr class="header">
<th align="left"></th>
<th align="right">AfD</th>
<th align="right">BSW</th>
<th align="right">CDU</th>
<th align="right">FDP</th>
<th align="right">Greens</th>
<th align="right">Left</th>
<th align="right">non-voter</th>
<th align="right">Other</th>
<th align="right">SPD</th>
</tr>
</thead>
<tbody>
<tr class="odd">
<td align="left">not far-right</td>
<td align="right">56.3</td>
<td align="right">87.2</td>
<td align="right">81</td>
<td align="right">75.7</td>
<td align="right">100</td>
<td align="right">95.5</td>
<td align="right">75.5</td>
<td align="right">88.4</td>
<td align="right">92.8</td>
</tr>
<tr class="even">
<td align="left">far-right</td>
<td align="right">43.7</td>
<td align="right">12.8</td>
<td align="right">19</td>
<td align="right">24.3</td>
<td align="right">0</td>
<td align="right">4.5</td>
<td align="right">24.5</td>
<td align="right">11.6</td>
<td align="right">7.2</td>
</tr>
</tbody>
</table>
<pre class="r"><code>absolute &lt;- svytable(~Ethnogr+recall_ltw_named, tm_rex_w)
percent &lt;- round(prop.table(absolute,2)*100,1)
df &lt;- as.data.frame.matrix(percent)

kable(df, 
      caption = &quot;Column Percentages: Ethnocentrism by Recall&quot;,
      digits = 1)</code></pre>
<table style="width:100%;">
<caption>Column Percentages: Ethnocentrism by Recall</caption>
<colgroup>
<col width="23%" />
<col width="7%" />
<col width="7%" />
<col width="7%" />
<col width="7%" />
<col width="10%" />
<col width="7%" />
<col width="14%" />
<col width="8%" />
<col width="7%" />
</colgroup>
<thead>
<tr class="header">
<th align="left"></th>
<th align="right">AfD</th>
<th align="right">BSW</th>
<th align="right">CDU</th>
<th align="right">FDP</th>
<th align="right">Greens</th>
<th align="right">Left</th>
<th align="right">non-voter</th>
<th align="right">Other</th>
<th align="right">SPD</th>
</tr>
</thead>
<tbody>
<tr class="odd">
<td align="left">no etnocentrism</td>
<td align="right">19.3</td>
<td align="right">59.1</td>
<td align="right">57.5</td>
<td align="right">56.5</td>
<td align="right">95.3</td>
<td align="right">86.1</td>
<td align="right">49.3</td>
<td align="right">70.8</td>
<td align="right">82.6</td>
</tr>
<tr class="even">
<td align="left">ethnocentrism</td>
<td align="right">80.7</td>
<td align="right">40.9</td>
<td align="right">42.5</td>
<td align="right">43.5</td>
<td align="right">4.7</td>
<td align="right">13.9</td>
<td align="right">50.7</td>
<td align="right">29.2</td>
<td align="right">17.4</td>
</tr>
</tbody>
</table>
<pre class="r"><code>absolute &lt;- svytable(~NSIdeogr+recall_ltw_named, tm_rex_w)
percent &lt;- round(prop.table(absolute,2)*100,1)
df &lt;- as.data.frame.matrix(percent)

kable(df, 
      caption = &quot;Column Percentages: Neo-Nazi Ideology by Recall&quot;,
      digits = 1)</code></pre>
<table>
<caption>Column Percentages: Neo-Nazi Ideology by Recall</caption>
<colgroup>
<col width="28%" />
<col width="6%" />
<col width="6%" />
<col width="6%" />
<col width="6%" />
<col width="9%" />
<col width="6%" />
<col width="13%" />
<col width="8%" />
<col width="6%" />
</colgroup>
<thead>
<tr class="header">
<th align="left"></th>
<th align="right">AfD</th>
<th align="right">BSW</th>
<th align="right">CDU</th>
<th align="right">FDP</th>
<th align="right">Greens</th>
<th align="right">Left</th>
<th align="right">non-voter</th>
<th align="right">Other</th>
<th align="right">SPD</th>
</tr>
</thead>
<tbody>
<tr class="odd">
<td align="left">no neo-Nazi ideology</td>
<td align="right">82.9</td>
<td align="right">94.3</td>
<td align="right">92.7</td>
<td align="right">98.4</td>
<td align="right">100</td>
<td align="right">99.6</td>
<td align="right">87.8</td>
<td align="right">98.7</td>
<td align="right">98.9</td>
</tr>
<tr class="even">
<td align="left">neo-Nazi ideology</td>
<td align="right">17.1</td>
<td align="right">5.7</td>
<td align="right">7.3</td>
<td align="right">1.6</td>
<td align="right">0</td>
<td align="right">0.4</td>
<td align="right">12.2</td>
<td align="right">1.3</td>
<td align="right">1.1</td>
</tr>
</tbody>
</table>
</div>
<div id="correlations-between-vote-choice-and-far-right-attitudes" class="section level4">
<h4>Correlations between vote choice and far-right attitudes</h4>
<pre class="r"><code># far-right
list(
  # with indep_test from wdm
  afd_wdm=indep_test(as.numeric(tm_rex$afd), tm_rex$REX,
           weights = tm_rex$persgew,
           method = &quot;pearson&quot;),
  bsw_wdm=indep_test(as.numeric(tm_rex$bsw), tm_rex$REX,
           weights = tm_rex$persgew,
           method = &quot;pearson&quot;),
  # for robustness reasons, let&#39;s use the more conservative svycor (jtools) as well...
  afd_svycor=svycor(~as.numeric(afd)+REX, design=tm_rex_w,
       sig.stats=T),
  bsw_svycor=svycor(~as.numeric(bsw)+REX, design=tm_rex_w,
       sig.stats=T)
)</code></pre>
<pre><code>## $afd_wdm
##    estimate statistic                       p_value    n_eff  method
## 1 0.3731299  9.542395 0.000000000000000000001395713 595.4098 pearson
##   alternative
## 1   two-sided
## 
## $bsw_wdm
##     estimate statistic   p_value    n_eff  method alternative
## 1 0.01373939 0.3344304 0.7380548 595.4098 pearson   two-sided
## 
## $afd_svycor
##                 as.numeric(afd) REX  
## as.numeric(afd) 1               0.37*
## REX             0.37*           1    
## 
## $bsw_svycor
##                 as.numeric(bsw) REX 
## as.numeric(bsw) 1               0.01
## REX             0.01            1</code></pre>
<pre class="r"><code># Ethnocentrism
list(
  # with indep_test from wdm
  afd_wdm=indep_test(as.numeric(tm_rex$afd), tm_rex$Ethno,
           weights = tm_rex$persgew,
           method = &quot;pearson&quot;),
  bsw_wdm=indep_test(as.numeric(tm_rex$bsw), tm_rex$Ethno,
           weights = tm_rex$persgew,
           method = &quot;pearson&quot;),
  # for robustness reasons, let&#39;s use the more conservative svycor (jtools) as well...
  afd_svycor=svycor(~as.numeric(afd)+Ethno, design=tm_rex_w,
       sig.stats=T),
  bsw_svycor=svycor(~as.numeric(bsw)+Ethno, design=tm_rex_w,
       sig.stats=T)
)</code></pre>
<pre><code>## $afd_wdm
##    estimate statistic                         p_value    n_eff  method
## 1 0.3837404  9.843821 0.00000000000000000000007288888 595.4098 pearson
##   alternative
## 1   two-sided
## 
## $bsw_wdm
##     estimate statistic   p_value    n_eff  method alternative
## 1 0.02391282 0.5821363 0.5604749 595.4098 pearson   two-sided
## 
## $afd_svycor
##                 as.numeric(afd) Ethno
## as.numeric(afd) 1               0.38*
## Ethno           0.38*           1    
## 
## $bsw_svycor
##                 as.numeric(bsw) Ethno
## as.numeric(bsw) 1               0.02 
## Ethno           0.02            1</code></pre>
<pre class="r"><code># Neo-Nazi ideology
list(
  # with indep_test from wdm
  afd_wdm=indep_test(as.numeric(tm_rex$afd), tm_rex$NSIdeo,
           weights = tm_rex$persgew,
           method = &quot;pearson&quot;),
  bsw_wdm=indep_test(as.numeric(tm_rex$bsw), tm_rex$NSIdeo,
           weights = tm_rex$persgew,
           method = &quot;pearson&quot;),
  # for robustness reasons, let&#39;s use the more conservative svycor (jtools) as well...
  afd_svycor=svycor(~as.numeric(afd)+NSIdeo, design=tm_rex_w,
       sig.stats=T),
  bsw_svycor=svycor(~as.numeric(bsw)+NSIdeo, design=tm_rex_w,
       sig.stats=T)
)</code></pre>
<pre><code>## $afd_wdm
##    estimate statistic             p_value    n_eff  method alternative
## 1 0.2697945  6.733323 0.00000000001658309 595.4098 pearson   two-sided
## 
## $bsw_wdm
##       estimate   statistic   p_value    n_eff  method alternative
## 1 -0.003981484 -0.09690772 0.9227997 595.4098 pearson   two-sided
## 
## $afd_svycor
##                 as.numeric(afd) NSIdeo
## as.numeric(afd) 1               0.27* 
## NSIdeo          0.27*           1     
## 
## $bsw_svycor
##                 as.numeric(bsw) NSIdeo
## as.numeric(bsw) 1               0     
## NSIdeo          0               1</code></pre>
</div>
</div>
<div id="full-logistic-regression-models-cultural-conservatism-and-political-grievances" class="section level1">
<h1>Full Logistic Regression Models Cultural Conservatism and Political
Grievances</h1>
<pre class="r"><code># select vars we need
tm &lt;- tm_all %&gt;% 
  select(alter, gender, edu_gr, lr, fin_sit, fair_share, status_anx, anti_immigration, anti_feminism, anti_trans, econ_situation_th, second_class, gdr, swd_gr, pol_distrust, RR, afd, bsw, persgew)

# NAs
colSums(is.na(tm))</code></pre>
<pre><code>##             alter            gender            edu_gr                lr 
##                 0                11                17                79 
##           fin_sit        fair_share        status_anx  anti_immigration 
##                28                68               125               116 
##     anti_feminism        anti_trans econ_situation_th      second_class 
##                95                94               122                79 
##               gdr            swd_gr      pol_distrust                RR 
##               366                34                27               106 
##               afd               bsw           persgew 
##               219               219                 0</code></pre>
<pre class="r"><code># remove data with missings
tm &lt;- tm %&gt;% 
  drop_na()
# dim(tm)

# surveydesign object
tm_w &lt;- svydesign(id=~1, weights=~persgew, data = tm)

# models
# AfD
m_afd &lt;- svyglm(afd~anti_immigration+anti_feminism+anti_trans+second_class+gdr+swd_gr+pol_distrust+RR+alter+gender+edu_gr+fin_sit+fair_share+status_anx+econ_situation_th,
                family = quasibinomial(link=&quot;logit&quot;),
                design = tm_w)

# BSW
m_bsw &lt;- svyglm(bsw~anti_immigration+anti_feminism+anti_trans+second_class+gdr+swd_gr+pol_distrust+RR+alter+gender+edu_gr+fin_sit+fair_share+status_anx+econ_situation_th,
                family = quasibinomial(link=&quot;logit&quot;),
                design = tm_w)</code></pre>
<pre class="r"><code>modelsummary(
  list(&quot;AfD&quot; = m_afd, &quot;BSW&quot; = m_bsw),
  exponentiate = T, # get OR
  stars = T,
  output = &quot;kableExtra&quot;,
  statistic = &quot;conf.int&quot;,
  gof_omit = &quot;RMSE|R2|Deviance|F|AIC|BIC|Log.Lik&quot;,
  title = &quot;Logistic regression models predicting AfD and BSW vote choice (Odds Ratios)&quot;,
  coef_rename = coef_names
)</code></pre>
<table style="NAborder-bottom: 0; width: auto !important; margin-left: auto; margin-right: auto;" class="table">
<caption>
Logistic regression models predicting AfD and BSW vote choice (Odds
Ratios)
</caption>
<thead>
<tr>
<th style="text-align:left;">
</th>
<th style="text-align:center;">
AfD
</th>
<th style="text-align:center;">
BSW
</th>
</tr>
</thead>
<tbody>
<tr>
<td style="text-align:left;">
(Intercept)
</td>
<td style="text-align:center;">
0.000***
</td>
<td style="text-align:center;">
0.047***
</td>
</tr>
<tr>
<td style="text-align:left;">
</td>
<td style="text-align:center;">
[0.000, 0.001]
</td>
<td style="text-align:center;">
[0.009, 0.246]
</td>
</tr>
<tr>
<td style="text-align:left;">
Anti-immigrant attitudes
</td>
<td style="text-align:center;">
2.677***
</td>
<td style="text-align:center;">
0.745
</td>
</tr>
<tr>
<td style="text-align:left;">
</td>
<td style="text-align:center;">
[1.698, 4.220]
</td>
<td style="text-align:center;">
[0.456, 1.216]
</td>
</tr>
<tr>
<td style="text-align:left;">
Anti-feminism
</td>
<td style="text-align:center;">
1.601
</td>
<td style="text-align:center;">
0.636
</td>
</tr>
<tr>
<td style="text-align:left;">
</td>
<td style="text-align:center;">
[0.802, 3.196]
</td>
<td style="text-align:center;">
[0.257, 1.577]
</td>
</tr>
<tr>
<td style="text-align:left;">
Anti-trans attitudes
</td>
<td style="text-align:center;">
1.186
</td>
<td style="text-align:center;">
0.721
</td>
</tr>
<tr>
<td style="text-align:left;">
</td>
<td style="text-align:center;">
[0.594, 2.367]
</td>
<td style="text-align:center;">
[0.320, 1.621]
</td>
</tr>
<tr>
<td style="text-align:left;">
Second class (yes)
</td>
<td style="text-align:center;">
0.607
</td>
<td style="text-align:center;">
1.324
</td>
</tr>
<tr>
<td style="text-align:left;">
</td>
<td style="text-align:center;">
[0.289, 1.277]
</td>
<td style="text-align:center;">
[0.646, 2.713]
</td>
</tr>
<tr>
<td style="text-align:left;">
GDR nostalgia
</td>
<td style="text-align:center;">
1.176
</td>
<td style="text-align:center;">
2.157*
</td>
</tr>
<tr>
<td style="text-align:left;">
</td>
<td style="text-align:center;">
[0.594, 2.328]
</td>
<td style="text-align:center;">
[1.113, 4.180]
</td>
</tr>
<tr>
<td style="text-align:left;">
Dissatisf. with democracy
</td>
<td style="text-align:center;">
3.772**
</td>
<td style="text-align:center;">
3.190**
</td>
</tr>
<tr>
<td style="text-align:left;">
</td>
<td style="text-align:center;">
[1.489, 9.557]
</td>
<td style="text-align:center;">
[1.593, 6.389]
</td>
</tr>
<tr>
<td style="text-align:left;">
Distrust
</td>
<td style="text-align:center;">
2.522***
</td>
<td style="text-align:center;">
1.116
</td>
</tr>
<tr>
<td style="text-align:left;">
</td>
<td style="text-align:center;">
[1.637, 3.887]
</td>
<td style="text-align:center;">
[0.799, 1.559]
</td>
</tr>
<tr>
<td style="text-align:left;">
Place-based resentment
</td>
<td style="text-align:center;">
1.709*
</td>
<td style="text-align:center;">
1.099
</td>
</tr>
<tr>
<td style="text-align:left;">
</td>
<td style="text-align:center;">
[1.002, 2.915]
</td>
<td style="text-align:center;">
[0.678, 1.783]
</td>
</tr>
<tr>
<td style="text-align:left;">
Age
</td>
<td style="text-align:center;">
0.981*
</td>
<td style="text-align:center;">
1.014+
</td>
</tr>
<tr>
<td style="text-align:left;">
</td>
<td style="text-align:center;">
[0.965, 0.997]
</td>
<td style="text-align:center;">
[0.999, 1.030]
</td>
</tr>
<tr>
<td style="text-align:left;">
Gender (female)
</td>
<td style="text-align:center;">
0.831
</td>
<td style="text-align:center;">
0.856
</td>
</tr>
<tr>
<td style="text-align:left;">
</td>
<td style="text-align:center;">
[0.433, 1.596]
</td>
<td style="text-align:center;">
[0.482, 1.522]
</td>
</tr>
<tr>
<td style="text-align:left;">
Education (no High school diploma)
</td>
<td style="text-align:center;">
1.583
</td>
<td style="text-align:center;">
0.477*
</td>
</tr>
<tr>
<td style="text-align:left;">
</td>
<td style="text-align:center;">
[0.828, 3.027]
</td>
<td style="text-align:center;">
[0.267, 0.851]
</td>
</tr>
<tr>
<td style="text-align:left;">
Indiv. financial situation (bad)
</td>
<td style="text-align:center;">
1.016
</td>
<td style="text-align:center;">
0.573
</td>
</tr>
<tr>
<td style="text-align:left;">
</td>
<td style="text-align:center;">
[0.500, 2.061]
</td>
<td style="text-align:center;">
[0.255, 1.287]
</td>
</tr>
<tr>
<td style="text-align:left;">
Econ. deprivation
</td>
<td style="text-align:center;">
1.244
</td>
<td style="text-align:center;">
0.983
</td>
</tr>
<tr>
<td style="text-align:left;">
</td>
<td style="text-align:center;">
[0.629, 2.459]
</td>
<td style="text-align:center;">
[0.533, 1.816]
</td>
</tr>
<tr>
<td style="text-align:left;">
Status anxiety
</td>
<td style="text-align:center;">
0.703
</td>
<td style="text-align:center;">
0.814
</td>
</tr>
<tr>
<td style="text-align:left;">
</td>
<td style="text-align:center;">
[0.328, 1.508]
</td>
<td style="text-align:center;">
[0.387, 1.711]
</td>
</tr>
<tr>
<td style="text-align:left;">
Economic situation Thuringia (bad)
</td>
<td style="text-align:center;">
1.483
</td>
<td style="text-align:center;">
1.108
</td>
</tr>
<tr>
<td style="text-align:left;box-shadow: 0px 1.5px">
</td>
<td style="text-align:center;box-shadow: 0px 1.5px">
[0.752, 2.927]
</td>
<td style="text-align:center;box-shadow: 0px 1.5px">
[0.572, 2.144]
</td>
</tr>
<tr>
<td style="text-align:left;">
Num.Obs.
</td>
<td style="text-align:center;">
975
</td>
<td style="text-align:center;">
975
</td>
</tr>
</tbody>
<tfoot>
<tr>
<td style="padding: 0; " colspan="100%">
<sup></sup> + p &lt; 0.1, * p &lt; 0.05, ** p &lt; 0.01, *** p &lt;
0.001
</td>
</tr>
</tfoot>
</table>
<p>The <strong>AfD</strong> model is consistent with what we find
regarding voting for RRPs across Europe: anti-immigrant views are
crucial, but diverse political grievances do matter as well.</p>
<p>In detail: for the AfD, anti-immigrant views are significantly and
positively associated with vote choice. The other dimensions of cultural
conservatism (anti-feminism, anti-trans views) are <em>not</em>
significantly associated. Almost all political grievances
(dissatisfaction with democracy, distrust, place-based resentment) are
significantly associated with vote choice for the AfD; associations run
in the expected direction. Grievances related to East German identity
are <em>not</em> significant in the full model. Also, the full model
shows little support for the losers of modernization thesis.</p>
<p>For <strong>BSW</strong> almost none of our predictors is
significantly correlated with vote choice. All measures of cultural
conservatism fail to reach statistical significance. Of the political
grievances, dissatisfaction with democracy is associated with BSW
support; so is GDR nostalgia. Again, we find little support for the
losers of modernization thesis. For example, low education is negatively
correlated with voting for BSW.</p>
<div id="model-fit-statistics" class="section level4">
<h4>Model Fit Statistics</h4>
<p>To view model fit statistics, please set <code>eval = F</code>and
<code>echo = F</code>to <code>TRUE</code> in the markdown file.</p>
<p>What do the Pseudo-R2 values tell us? It’s striking how much worse
the BSW model performs compared to the AfD model when looking at
Pseudo-R2 values: 0.118 vs. 0.5. This could support the idea that
foreign policy - particularly views on the Russia-Ukraine conflict - is
the most decisive factor for BSW vote (Thomeczek, 2024). At the same
time, it’s important to note that our dataset doesn’t include variables
that adequately capture attitudes on the socio-economic dimension. We
will, however, account for left-right self-placement in the robustness
checks <a href="#id_2-full-svyglm-models-with-left-right-self-placement">See
robustness checks</a></p>
</div>
</div>
<div id="far-right-attitudes" class="section level1">
<h1>Far-right Attitudes</h1>
<div id="full-logistic-regression-models-far-right-attitudes" class="section level2">
<h2>Full Logistic Regression Models Far-right Attitudes</h2>
<pre class="r"><code># select vars we need
tm_rex &lt;- tm_all %&gt;% 
  select(REX, REXgr, Ethno, Ethnogr, NSIdeo, NSIdeogr, alter, gender, edu_gr, unemployed, manual_worker, fin_sit, fair_share, status_anx, anti_immigration, anti_feminism, anti_trans, econ_situation_th, second_class, swd_gr, pol_distrust, RR, afd, bsw, persgew)

# drop NA to have same cases in all models
tm_rex &lt;- tm_rex %&gt;% 
  drop_na()

# surveydesign object
tm_rex_w &lt;- svydesign(id=~1, weights=~persgew, data = tm_rex)

# MODELS
m1_rex_afd &lt;- svyglm(afd~REX+anti_feminism+anti_trans+second_class+swd_gr+pol_distrust+RR+alter+gender+edu_gr+fin_sit+unemployed+manual_worker+fair_share+status_anx+econ_situation_th,
                     family = quasibinomial(link = &quot;logit&quot;),
                     design = tm_rex_w)

m1_rex_bsw &lt;- svyglm(bsw~REX+anti_feminism+anti_trans+second_class+swd_gr+pol_distrust+RR+alter+gender+edu_gr+fin_sit+unemployed+manual_worker+fair_share+status_anx+econ_situation_th,
                     family = quasibinomial(link = &quot;logit&quot;),
                     design = tm_rex_w)

m1_ethno_afd &lt;- svyglm(afd~Ethno+anti_feminism+anti_trans+second_class+swd_gr+pol_distrust+RR+alter+gender+edu_gr+fin_sit+unemployed+manual_worker+fair_share+status_anx+econ_situation_th,
                       family = quasibinomial(link = &quot;logit&quot;),
                       design = tm_rex_w)

m1_ethno_bsw &lt;- svyglm(bsw~Ethno+anti_feminism+anti_trans+second_class+swd_gr+pol_distrust+RR+alter+gender+edu_gr+fin_sit+unemployed+manual_worker+fair_share+status_anx+econ_situation_th,
                       family = quasibinomial(link = &quot;logit&quot;),
                       design = tm_rex_w)

m1_ns_afd &lt;- svyglm(afd~NSIdeo+anti_feminism+anti_trans+second_class+swd_gr+pol_distrust+RR+alter+gender+edu_gr+fin_sit+unemployed+manual_worker+fair_share+status_anx+econ_situation_th,
                    family = quasibinomial(link = &quot;logit&quot;),
                    design = tm_rex_w)

m1_ns_bsw &lt;- svyglm(bsw~NSIdeo+anti_feminism+anti_trans+second_class+swd_gr+pol_distrust+RR+alter+gender+edu_gr+fin_sit+unemployed+manual_worker+fair_share+status_anx+econ_situation_th,
                    family = quasibinomial(link = &quot;logit&quot;),
                    design = tm_rex_w)</code></pre>
<pre class="r"><code>modelsummary(
  list(&quot;Far-right (AfD)&quot; = m1_rex_afd,
       &quot;Ethnocentrism (AfD)&quot; = m1_ethno_afd,
       &quot;Neo-Nazi ideology (AfD)&quot; = m1_ns_afd,
       &quot;Far-right (BSW)&quot; = m1_rex_bsw, 
       &quot;Ethnocentrism (BSW)&quot; = m1_ethno_bsw, 
       &quot;Neo-Nazi ideology (BSW)&quot; = m1_ns_bsw
       ),
  exponentiate = T, # get OR
  stars = T,
  output = &quot;kableExtra&quot;,
  statistic = &quot;conf.int&quot;,
  gof_omit = &quot;RMSE|R2|Deviance|F|AIC|BIC|Log.Lik&quot;,
  title = &quot;Table: Full logistic regression models predicting AfD and BSW vote choice with far-right attitudes (Odds Ratios)&quot;,
  coef_rename = coef_names
)</code></pre>
<table style="NAborder-bottom: 0; width: auto !important; margin-left: auto; margin-right: auto;" class="table">
<caption>
Table: Full logistic regression models predicting AfD and BSW vote
choice with far-right attitudes (Odds Ratios)
</caption>
<thead>
<tr>
<th style="text-align:left;">
</th>
<th style="text-align:center;">
Far-right (AfD)
</th>
<th style="text-align:center;">
Ethnocentrism (AfD)
</th>
<th style="text-align:center;">
Neo-Nazi ideology (AfD)
</th>
<th style="text-align:center;">
Far-right (BSW)
</th>
<th style="text-align:center;">
Ethnocentrism (BSW)
</th>
<th style="text-align:center;">
Neo-Nazi ideology (BSW)
</th>
</tr>
</thead>
<tbody>
<tr>
<td style="text-align:left;">
(Intercept)
</td>
<td style="text-align:center;">
0.000***
</td>
<td style="text-align:center;">
0.000***
</td>
<td style="text-align:center;">
0.000***
</td>
<td style="text-align:center;">
0.062***
</td>
<td style="text-align:center;">
0.054***
</td>
<td style="text-align:center;">
0.065***
</td>
</tr>
<tr>
<td style="text-align:left;">
</td>
<td style="text-align:center;">
[0.000, 0.001]
</td>
<td style="text-align:center;">
[0.000, 0.001]
</td>
<td style="text-align:center;">
[0.000, 0.002]
</td>
<td style="text-align:center;">
[0.013, 0.284]
</td>
<td style="text-align:center;">
[0.013, 0.230]
</td>
<td style="text-align:center;">
[0.013, 0.326]
</td>
</tr>
<tr>
<td style="text-align:left;">
Far-right attitudes
</td>
<td style="text-align:center;">
2.861**
</td>
<td style="text-align:center;">
</td>
<td style="text-align:center;">
</td>
<td style="text-align:center;">
0.694
</td>
<td style="text-align:center;">
</td>
<td style="text-align:center;">
</td>
</tr>
<tr>
<td style="text-align:left;">
</td>
<td style="text-align:center;">
[1.497, 5.469]
</td>
<td style="text-align:center;">
</td>
<td style="text-align:center;">
</td>
<td style="text-align:center;">
[0.364, 1.321]
</td>
<td style="text-align:center;">
</td>
<td style="text-align:center;">
</td>
</tr>
<tr>
<td style="text-align:left;">
Anti-feminism
</td>
<td style="text-align:center;">
1.655
</td>
<td style="text-align:center;">
1.817+
</td>
<td style="text-align:center;">
1.715
</td>
<td style="text-align:center;">
0.608
</td>
<td style="text-align:center;">
0.589
</td>
<td style="text-align:center;">
0.604
</td>
</tr>
<tr>
<td style="text-align:left;">
</td>
<td style="text-align:center;">
[0.827, 3.310]
</td>
<td style="text-align:center;">
[0.937, 3.521]
</td>
<td style="text-align:center;">
[0.841, 3.501]
</td>
<td style="text-align:center;">
[0.259, 1.431]
</td>
<td style="text-align:center;">
[0.255, 1.359]
</td>
<td style="text-align:center;">
[0.255, 1.432]
</td>
</tr>
<tr>
<td style="text-align:left;">
Anti-trans attitudes
</td>
<td style="text-align:center;">
1.392
</td>
<td style="text-align:center;">
1.326
</td>
<td style="text-align:center;">
1.650
</td>
<td style="text-align:center;">
1.068
</td>
<td style="text-align:center;">
1.042
</td>
<td style="text-align:center;">
1.052
</td>
</tr>
<tr>
<td style="text-align:left;">
</td>
<td style="text-align:center;">
[0.708, 2.740]
</td>
<td style="text-align:center;">
[0.669, 2.629]
</td>
<td style="text-align:center;">
[0.860, 3.167]
</td>
<td style="text-align:center;">
[0.528, 2.162]
</td>
<td style="text-align:center;">
[0.517, 2.101]
</td>
<td style="text-align:center;">
[0.528, 2.098]
</td>
</tr>
<tr>
<td style="text-align:left;">
Second class (yes)
</td>
<td style="text-align:center;">
0.599
</td>
<td style="text-align:center;">
0.567
</td>
<td style="text-align:center;">
0.725
</td>
<td style="text-align:center;">
1.861+
</td>
<td style="text-align:center;">
1.822+
</td>
<td style="text-align:center;">
1.847+
</td>
</tr>
<tr>
<td style="text-align:left;">
</td>
<td style="text-align:center;">
[0.297, 1.207]
</td>
<td style="text-align:center;">
[0.282, 1.136]
</td>
<td style="text-align:center;">
[0.365, 1.441]
</td>
<td style="text-align:center;">
[0.977, 3.544]
</td>
<td style="text-align:center;">
[0.949, 3.496]
</td>
<td style="text-align:center;">
[0.984, 3.468]
</td>
</tr>
<tr>
<td style="text-align:left;">
Dissatisf. with democracy
</td>
<td style="text-align:center;">
7.113**
</td>
<td style="text-align:center;">
6.039**
</td>
<td style="text-align:center;">
7.334***
</td>
<td style="text-align:center;">
2.626**
</td>
<td style="text-align:center;">
2.611**
</td>
<td style="text-align:center;">
2.561**
</td>
</tr>
<tr>
<td style="text-align:left;">
</td>
<td style="text-align:center;">
[2.159, 23.432]
</td>
<td style="text-align:center;">
[1.979, 18.426]
</td>
<td style="text-align:center;">
[2.296, 23.426]
</td>
<td style="text-align:center;">
[1.360, 5.071]
</td>
<td style="text-align:center;">
[1.353, 5.037]
</td>
<td style="text-align:center;">
[1.321, 4.964]
</td>
</tr>
<tr>
<td style="text-align:left;">
Distrust
</td>
<td style="text-align:center;">
2.318***
</td>
<td style="text-align:center;">
2.213***
</td>
<td style="text-align:center;">
2.588***
</td>
<td style="text-align:center;">
1.136
</td>
<td style="text-align:center;">
1.118
</td>
<td style="text-align:center;">
1.108
</td>
</tr>
<tr>
<td style="text-align:left;">
</td>
<td style="text-align:center;">
[1.484, 3.621]
</td>
<td style="text-align:center;">
[1.457, 3.361]
</td>
<td style="text-align:center;">
[1.663, 4.027]
</td>
<td style="text-align:center;">
[0.830, 1.553]
</td>
<td style="text-align:center;">
[0.824, 1.517]
</td>
<td style="text-align:center;">
[0.813, 1.510]
</td>
</tr>
<tr>
<td style="text-align:left;">
Place-based resentment
</td>
<td style="text-align:center;">
1.829*
</td>
<td style="text-align:center;">
1.805*
</td>
<td style="text-align:center;">
1.719*
</td>
<td style="text-align:center;">
0.915
</td>
<td style="text-align:center;">
0.924
</td>
<td style="text-align:center;">
0.896
</td>
</tr>
<tr>
<td style="text-align:left;">
</td>
<td style="text-align:center;">
[1.082, 3.092]
</td>
<td style="text-align:center;">
[1.066, 3.055]
</td>
<td style="text-align:center;">
[1.035, 2.855]
</td>
<td style="text-align:center;">
[0.582, 1.440]
</td>
<td style="text-align:center;">
[0.585, 1.459]
</td>
<td style="text-align:center;">
[0.567, 1.415]
</td>
</tr>
<tr>
<td style="text-align:left;">
Age
</td>
<td style="text-align:center;">
0.990
</td>
<td style="text-align:center;">
0.988
</td>
<td style="text-align:center;">
0.993
</td>
<td style="text-align:center;">
1.017*
</td>
<td style="text-align:center;">
1.017*
</td>
<td style="text-align:center;">
1.016*
</td>
</tr>
<tr>
<td style="text-align:left;">
</td>
<td style="text-align:center;">
[0.975, 1.006]
</td>
<td style="text-align:center;">
[0.972, 1.004]
</td>
<td style="text-align:center;">
[0.978, 1.008]
</td>
<td style="text-align:center;">
[1.001, 1.033]
</td>
<td style="text-align:center;">
[1.000, 1.033]
</td>
<td style="text-align:center;">
[1.000, 1.033]
</td>
</tr>
<tr>
<td style="text-align:left;">
Gender (female)
</td>
<td style="text-align:center;">
0.910
</td>
<td style="text-align:center;">
0.886
</td>
<td style="text-align:center;">
0.893
</td>
<td style="text-align:center;">
1.156
</td>
<td style="text-align:center;">
1.170
</td>
<td style="text-align:center;">
1.135
</td>
</tr>
<tr>
<td style="text-align:left;">
</td>
<td style="text-align:center;">
[0.473, 1.749]
</td>
<td style="text-align:center;">
[0.456, 1.720]
</td>
<td style="text-align:center;">
[0.472, 1.689]
</td>
<td style="text-align:center;">
[0.680, 1.965]
</td>
<td style="text-align:center;">
[0.689, 1.987]
</td>
<td style="text-align:center;">
[0.663, 1.945]
</td>
</tr>
<tr>
<td style="text-align:left;">
Education (no High school diploma)
</td>
<td style="text-align:center;">
1.517
</td>
<td style="text-align:center;">
1.586
</td>
<td style="text-align:center;">
1.740+
</td>
<td style="text-align:center;">
0.556*
</td>
<td style="text-align:center;">
0.541*
</td>
<td style="text-align:center;">
0.555*
</td>
</tr>
<tr>
<td style="text-align:left;">
</td>
<td style="text-align:center;">
[0.799, 2.879]
</td>
<td style="text-align:center;">
[0.835, 3.013]
</td>
<td style="text-align:center;">
[0.913, 3.316]
</td>
<td style="text-align:center;">
[0.328, 0.944]
</td>
<td style="text-align:center;">
[0.321, 0.912]
</td>
<td style="text-align:center;">
[0.329, 0.935]
</td>
</tr>
<tr>
<td style="text-align:left;">
Indiv. financial situation (bad)
</td>
<td style="text-align:center;">
0.874
</td>
<td style="text-align:center;">
0.920
</td>
<td style="text-align:center;">
0.819
</td>
<td style="text-align:center;">
0.442*
</td>
<td style="text-align:center;">
0.446*
</td>
<td style="text-align:center;">
0.453*
</td>
</tr>
<tr>
<td style="text-align:left;">
</td>
<td style="text-align:center;">
[0.443, 1.726]
</td>
<td style="text-align:center;">
[0.460, 1.840]
</td>
<td style="text-align:center;">
[0.424, 1.580]
</td>
<td style="text-align:center;">
[0.208, 0.941]
</td>
<td style="text-align:center;">
[0.207, 0.958]
</td>
<td style="text-align:center;">
[0.212, 0.972]
</td>
</tr>
<tr>
<td style="text-align:left;">
Unemployment
</td>
<td style="text-align:center;">
0.823
</td>
<td style="text-align:center;">
0.914
</td>
<td style="text-align:center;">
0.998
</td>
<td style="text-align:center;">
3.778+
</td>
<td style="text-align:center;">
3.590+
</td>
<td style="text-align:center;">
3.893+
</td>
</tr>
<tr>
<td style="text-align:left;">
</td>
<td style="text-align:center;">
[0.118, 5.724]
</td>
<td style="text-align:center;">
[0.122, 6.869]
</td>
<td style="text-align:center;">
[0.188, 5.310]
</td>
<td style="text-align:center;">
[0.813, 17.550]
</td>
<td style="text-align:center;">
[0.785, 16.413]
</td>
<td style="text-align:center;">
[0.846, 17.910]
</td>
</tr>
<tr>
<td style="text-align:left;">
Manual worker
</td>
<td style="text-align:center;">
1.520
</td>
<td style="text-align:center;">
1.461
</td>
<td style="text-align:center;">
1.528
</td>
<td style="text-align:center;">
1.753
</td>
<td style="text-align:center;">
1.769
</td>
<td style="text-align:center;">
1.694
</td>
</tr>
<tr>
<td style="text-align:left;">
</td>
<td style="text-align:center;">
[0.634, 3.645]
</td>
<td style="text-align:center;">
[0.598, 3.572]
</td>
<td style="text-align:center;">
[0.627, 3.723]
</td>
<td style="text-align:center;">
[0.726, 4.232]
</td>
<td style="text-align:center;">
[0.734, 4.262]
</td>
<td style="text-align:center;">
[0.713, 4.022]
</td>
</tr>
<tr>
<td style="text-align:left;">
Econ. deprivation
</td>
<td style="text-align:center;">
0.926
</td>
<td style="text-align:center;">
0.883
</td>
<td style="text-align:center;">
0.970
</td>
<td style="text-align:center;">
1.264
</td>
<td style="text-align:center;">
1.251
</td>
<td style="text-align:center;">
1.261
</td>
</tr>
<tr>
<td style="text-align:left;">
</td>
<td style="text-align:center;">
[0.485, 1.767]
</td>
<td style="text-align:center;">
[0.466, 1.674]
</td>
<td style="text-align:center;">
[0.522, 1.805]
</td>
<td style="text-align:center;">
[0.719, 2.224]
</td>
<td style="text-align:center;">
[0.718, 2.182]
</td>
<td style="text-align:center;">
[0.716, 2.224]
</td>
</tr>
<tr>
<td style="text-align:left;">
Status anxiety
</td>
<td style="text-align:center;">
0.718
</td>
<td style="text-align:center;">
0.713
</td>
<td style="text-align:center;">
0.889
</td>
<td style="text-align:center;">
0.794
</td>
<td style="text-align:center;">
0.765
</td>
<td style="text-align:center;">
0.781
</td>
</tr>
<tr>
<td style="text-align:left;">
</td>
<td style="text-align:center;">
[0.362, 1.425]
</td>
<td style="text-align:center;">
[0.353, 1.441]
</td>
<td style="text-align:center;">
[0.468, 1.688]
</td>
<td style="text-align:center;">
[0.414, 1.521]
</td>
<td style="text-align:center;">
[0.403, 1.450]
</td>
<td style="text-align:center;">
[0.403, 1.515]
</td>
</tr>
<tr>
<td style="text-align:left;">
Economic situation Thuringia (bad)
</td>
<td style="text-align:center;">
1.912*
</td>
<td style="text-align:center;">
1.808+
</td>
<td style="text-align:center;">
1.852*
</td>
<td style="text-align:center;">
1.017
</td>
<td style="text-align:center;">
1.029
</td>
<td style="text-align:center;">
1.013
</td>
</tr>
<tr>
<td style="text-align:left;">
</td>
<td style="text-align:center;">
[1.015, 3.604]
</td>
<td style="text-align:center;">
[0.963, 3.393]
</td>
<td style="text-align:center;">
[1.004, 3.418]
</td>
<td style="text-align:center;">
[0.565, 1.833]
</td>
<td style="text-align:center;">
[0.574, 1.843]
</td>
<td style="text-align:center;">
[0.560, 1.833]
</td>
</tr>
<tr>
<td style="text-align:left;">
Ethnocentrism
</td>
<td style="text-align:center;">
</td>
<td style="text-align:center;">
3.162***
</td>
<td style="text-align:center;">
</td>
<td style="text-align:center;">
</td>
<td style="text-align:center;">
0.816
</td>
<td style="text-align:center;">
</td>
</tr>
<tr>
<td style="text-align:left;">
</td>
<td style="text-align:center;">
</td>
<td style="text-align:center;">
[1.888, 5.296]
</td>
<td style="text-align:center;">
</td>
<td style="text-align:center;">
</td>
<td style="text-align:center;">
[0.542, 1.229]
</td>
<td style="text-align:center;">
</td>
</tr>
<tr>
<td style="text-align:left;">
Neo-Nazi ideology
</td>
<td style="text-align:center;">
</td>
<td style="text-align:center;">
</td>
<td style="text-align:center;">
1.512
</td>
<td style="text-align:center;">
</td>
<td style="text-align:center;">
</td>
<td style="text-align:center;">
0.699
</td>
</tr>
<tr>
<td style="text-align:left;box-shadow: 0px 1.5px">
</td>
<td style="text-align:center;box-shadow: 0px 1.5px">
</td>
<td style="text-align:center;box-shadow: 0px 1.5px">
</td>
<td style="text-align:center;box-shadow: 0px 1.5px">
[0.903, 2.531]
</td>
<td style="text-align:center;box-shadow: 0px 1.5px">
</td>
<td style="text-align:center;box-shadow: 0px 1.5px">
</td>
<td style="text-align:center;box-shadow: 0px 1.5px">
[0.344, 1.418]
</td>
</tr>
<tr>
<td style="text-align:left;">
Num.Obs.
</td>
<td style="text-align:center;">
1106
</td>
<td style="text-align:center;">
1106
</td>
<td style="text-align:center;">
1106
</td>
<td style="text-align:center;">
1106
</td>
<td style="text-align:center;">
1106
</td>
<td style="text-align:center;">
1106
</td>
</tr>
</tbody>
<tfoot>
<tr>
<td style="padding: 0; " colspan="100%">
<sup></sup> + p &lt; 0.1, * p &lt; 0.05, ** p &lt; 0.01, *** p &lt;
0.001
</td>
</tr>
</tfoot>
</table>
<p>What do the results tell us?</p>
<p>The most notable change in the full models in contrast to the
bivariate models and models with socio-demographic controls that can be
found in the robustness checks (see <a href="#id_8-far-right-attitudes-bivariate-and-socio-demographic-controls-models">section
on far-right attitudes models</a>) is that <strong>neo-Nazi Ideology is
no longer significantly linked to AfD voting</strong>. In contrast, the
full far-right attitude scale and Ethnocentrism remain significant. This
suggests that the effect of far-right attitudes is primarily driven by
<strong>Ethnocentrism</strong>, rather than by neo-Nazi Ideology.</p>
<p>None of the three measures of far-right attitudes is significantly
linked to BSW support in the full models.</p>
<div id="model-fit-statistics-1" class="section level4">
<h4>Model Fit Statistics</h4>
<p>To view model fit statistics, please set <code>eval = F</code>and
<code>echo = F</code>to <code>TRUE</code> in the markdown file.</p>
</div>
<div id="predicted-probabilities-full-models-far-right-attitudes" class="section level4">
<h4>Predicted Probabilities Full Models Far-right Attitudes</h4>
<pre class="r"><code># all plots
cowplot::plot_grid(p10, p20,
                   nrow = 2)</code></pre>
<p><img role="img" src="data:image/png;base64,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" width="672" /></p>
</div>
</div>
</div>
<div id="appendix-robustness-checks-and-further-model-specifications" class="section level1">
<h1>APPENDIX: Robustness Checks and Further Model Specifications</h1>
<p>In this section, we compute a series of alternative model
specifications to assess the robustness of our findings. These
include:</p>
<ul>
<li><strong>Bivariate models</strong></li>
<li><strong>Partial models</strong>, which include only one group of
predictors:
<ul>
<li>either cultural conservatism<br />
</li>
<li>or political grievances<br />
</li>
</ul></li>
<li>Models using <strong>only socio-demographic control
variables</strong></li>
<li><strong>Full models with alternative operationalizations</strong> of
some of our independent variables<br />
</li>
<li>Models estimated with <strong>unweighted data</strong></li>
</ul>
<p>Regarding the alternative operationalization, we modify or add the
following variables:</p>
<ul>
<li><code>lr</code> In politics one often talks about ‘left’ and
‘right’. Where would you place yourself: very far-left, fairly far-left,
rather left, in the middle, rather right, fairly far-right, very
far-right?</li>
<li><code>dev_community</code> as an alternative measurment of
place-based resentment. Originally labelled <code>SL_VER</code> in the
dataset, respondents were asked to rate the development of their
community on a 5-point scale: ‘In your view, how has your city/town
developed over the past 10 to 15 years?’ (This question was only given
to respondents who lived in their current hometown since at least 10
years)</li>
<li><code>dissat_parties</code> anti-party sentiment was operationalized
as a dummy based on item <code>V17</code>: Parties just want people’s
votes—they don’t actually care about their views</li>
<li><code>ext_effic</code>external efficacy was operationalized as a
dummy based on item <code>V139J</code>: People like me have no say in
what the government does.</li>
<li><code>responsive</code> was operationalized as a dummy based on item
<code>V699</code>: In general, politicians make an effort to represent
the interests of the population. (reversed)</li>
</ul>
<div id="partial-regression-models-cultural-conservatism-and-political-grievances" class="section level2">
<h2>1 Partial Regression Models (Cultural Conservatism and Political
Grievances)</h2>
<p>Partial models calculated on the same cases as the full model
(N=975), i.e. all cases containing missing data in the full model were
dropped.</p>
<pre class="r"><code># select vars we need
tm &lt;- tm_all %&gt;% 
  select(alter, gender, edu_gr, lr, fin_sit, fair_share, status_anx, anti_immigration, anti_feminism, anti_trans, econ_situation_th, second_class, gdr, swd_gr, pol_distrust, RR, afd, bsw, persgew)

# remove data with missings
tm &lt;- tm %&gt;% 
  drop_na()

# surveydesign object
tm_w &lt;- svydesign(id=~1, weights=~persgew, data = tm)

##### Cultural conservatism #####
m2_afd &lt;- svyglm(afd~anti_immigration+anti_feminism+anti_trans,
                 family = quasibinomial(link = &quot;logit&quot;),
                 design = tm_w)

m2_bsw &lt;- svyglm(bsw~anti_immigration+anti_feminism+anti_trans,
                 family = quasibinomial(link = &quot;logit&quot;),
                 design = tm_w)


##### Political grievances #####
m3_afd &lt;- svyglm(afd~swd_gr+pol_distrust+RR+second_class+gdr,
                 family = quasibinomial(link=&quot;logit&quot;),
                 design = tm_w)

m3_bsw &lt;- svyglm(bsw~swd_gr+pol_distrust+RR+second_class+gdr,
                 family = quasibinomial(link=&quot;logit&quot;),
                 design = tm_w)</code></pre>
<pre class="r"><code>modelsummary(
  list(&quot;Cultural grievances (AfD)&quot; = m2_afd,
       &quot;Cultural grievances (BSW)&quot; = m2_bsw,
       &quot;Political grievances (AfD)&quot; = m3_afd,
       &quot;Political grievances (BSW)&quot; = m3_bsw),
  exponentiate = T, # get OR
  stars = T,
  output = &quot;kableExtra&quot;,
  statistic = &quot;conf.int&quot;,
  gof_omit = &quot;RMSE|R2|Deviance|F|AIC|BIC|Log.Lik&quot;,
  title = &quot;Partial logistic regression models predicting AfD and BSW vote choice (Odds Ratios)&quot;,
  coef_rename = coef_names
)</code></pre>
<table style="NAborder-bottom: 0; width: auto !important; margin-left: auto; margin-right: auto;" class="table">
<caption>
Partial logistic regression models predicting AfD and BSW vote choice
(Odds Ratios)
</caption>
<thead>
<tr>
<th style="text-align:left;">
</th>
<th style="text-align:center;">
Cultural grievances (AfD)
</th>
<th style="text-align:center;">
Cultural grievances (BSW)
</th>
<th style="text-align:center;">
Political grievances (AfD)
</th>
<th style="text-align:center;">
Political grievances (BSW)
</th>
</tr>
</thead>
<tbody>
<tr>
<td style="text-align:left;">
(Intercept)
</td>
<td style="text-align:center;">
0.003***
</td>
<td style="text-align:center;">
0.111***
</td>
<td style="text-align:center;">
0.000***
</td>
<td style="text-align:center;">
0.074***
</td>
</tr>
<tr>
<td style="text-align:left;">
</td>
<td style="text-align:center;">
[0.001, 0.009]
</td>
<td style="text-align:center;">
[0.049, 0.254]
</td>
<td style="text-align:center;">
[0.000, 0.001]
</td>
<td style="text-align:center;">
[0.023, 0.240]
</td>
</tr>
<tr>
<td style="text-align:left;">
Anti-immigrant attitudes
</td>
<td style="text-align:center;">
4.377***
</td>
<td style="text-align:center;">
1.131
</td>
<td style="text-align:center;">
</td>
<td style="text-align:center;">
</td>
</tr>
<tr>
<td style="text-align:left;">
</td>
<td style="text-align:center;">
[2.911, 6.581]
</td>
<td style="text-align:center;">
[0.796, 1.607]
</td>
<td style="text-align:center;">
</td>
<td style="text-align:center;">
</td>
</tr>
<tr>
<td style="text-align:left;">
Anti-feminism
</td>
<td style="text-align:center;">
2.241*
</td>
<td style="text-align:center;">
0.743
</td>
<td style="text-align:center;">
</td>
<td style="text-align:center;">
</td>
</tr>
<tr>
<td style="text-align:left;">
</td>
<td style="text-align:center;">
[1.156, 4.342]
</td>
<td style="text-align:center;">
[0.329, 1.678]
</td>
<td style="text-align:center;">
</td>
<td style="text-align:center;">
</td>
</tr>
<tr>
<td style="text-align:left;">
Anti-trans attitudes
</td>
<td style="text-align:center;">
1.662
</td>
<td style="text-align:center;">
0.850
</td>
<td style="text-align:center;">
</td>
<td style="text-align:center;">
</td>
</tr>
<tr>
<td style="text-align:left;">
</td>
<td style="text-align:center;">
[0.842, 3.280]
</td>
<td style="text-align:center;">
[0.373, 1.935]
</td>
<td style="text-align:center;">
</td>
<td style="text-align:center;">
</td>
</tr>
<tr>
<td style="text-align:left;">
Dissatisf. with democracy
</td>
<td style="text-align:center;">
</td>
<td style="text-align:center;">
</td>
<td style="text-align:center;">
4.701**
</td>
<td style="text-align:center;">
2.510*
</td>
</tr>
<tr>
<td style="text-align:left;">
</td>
<td style="text-align:center;">
</td>
<td style="text-align:center;">
</td>
<td style="text-align:center;">
[1.768, 12.503]
</td>
<td style="text-align:center;">
[1.217, 5.177]
</td>
</tr>
<tr>
<td style="text-align:left;">
Distrust
</td>
<td style="text-align:center;">
</td>
<td style="text-align:center;">
</td>
<td style="text-align:center;">
3.538***
</td>
<td style="text-align:center;">
0.909
</td>
</tr>
<tr>
<td style="text-align:left;">
</td>
<td style="text-align:center;">
</td>
<td style="text-align:center;">
</td>
<td style="text-align:center;">
[2.270, 5.514]
</td>
<td style="text-align:center;">
[0.675, 1.226]
</td>
</tr>
<tr>
<td style="text-align:left;">
Place-based resentment
</td>
<td style="text-align:center;">
</td>
<td style="text-align:center;">
</td>
<td style="text-align:center;">
1.813*
</td>
<td style="text-align:center;">
1.039
</td>
</tr>
<tr>
<td style="text-align:left;">
</td>
<td style="text-align:center;">
</td>
<td style="text-align:center;">
</td>
<td style="text-align:center;">
[1.062, 3.092]
</td>
<td style="text-align:center;">
[0.668, 1.614]
</td>
</tr>
<tr>
<td style="text-align:left;">
Second class (yes)
</td>
<td style="text-align:center;">
</td>
<td style="text-align:center;">
</td>
<td style="text-align:center;">
0.705
</td>
<td style="text-align:center;">
0.981
</td>
</tr>
<tr>
<td style="text-align:left;">
</td>
<td style="text-align:center;">
</td>
<td style="text-align:center;">
</td>
<td style="text-align:center;">
[0.364, 1.364]
</td>
<td style="text-align:center;">
[0.515, 1.866]
</td>
</tr>
<tr>
<td style="text-align:left;">
GDR nostalgia
</td>
<td style="text-align:center;">
</td>
<td style="text-align:center;">
</td>
<td style="text-align:center;">
1.529
</td>
<td style="text-align:center;">
1.727+
</td>
</tr>
<tr>
<td style="text-align:left;box-shadow: 0px 1.5px">
</td>
<td style="text-align:center;box-shadow: 0px 1.5px">
</td>
<td style="text-align:center;box-shadow: 0px 1.5px">
</td>
<td style="text-align:center;box-shadow: 0px 1.5px">
[0.848, 2.757]
</td>
<td style="text-align:center;box-shadow: 0px 1.5px">
[0.939, 3.179]
</td>
</tr>
<tr>
<td style="text-align:left;">
Num.Obs.
</td>
<td style="text-align:center;">
975
</td>
<td style="text-align:center;">
975
</td>
<td style="text-align:center;">
975
</td>
<td style="text-align:center;">
975
</td>
</tr>
</tbody>
<tfoot>
<tr>
<td style="padding: 0; " colspan="100%">
<sup></sup> + p &lt; 0.1, * p &lt; 0.05, ** p &lt; 0.01, *** p &lt;
0.001
</td>
</tr>
</tfoot>
</table>
<p>What do the partial models tell us? <strong>Cultural
grievances</strong> Anti-immigration and-anti-feminism are significantly
associated with AfD support. None of the cultural grievances is
significant for supporting BSW - though see robustness checks that show
a little inconsistency in these findings, and lend some weak indications
for a link between BSW support and anti-immigrant views <a href="#id_8a-bsw-and-anti-immigrant-attitudes">See section on BSW and
anti-immigrant attitudes</a>.</p>
<p><strong>Political grievances</strong> For the AfD, all genuinely
political grievances significant; so is place-based resentment, while
grievances related to East German identity are not significant. For BSW
political grievances seem a somewhat weaker predictor of vote choice.
SWD is significantly associated (in expected direction). GDR nostalgia
is significant at the 90% level only, but in expected direction as
well.</p>
<div id="model-fit-statistics-2" class="section level4">
<h4>Model Fit Statistics</h4>
<p>To view model fit statistics, please set <code>eval = F</code>and
<code>echo = F</code>to <code>TRUE</code> in the markdown file.</p>
</div>
</div>
<div id="a-partial-regression-models-that-let-r-handle-missing-data-cultural-conservatism-and-political-grievances" class="section level2">
<h2>1a Partial Regression Models That Let R Handle Missing Data
(Cultural Conservatism and Political Grievances)</h2>
<p>In this alternative approach for computing the partial regression
models for cultural conservatism and political grievances, we rely on
R’s default handling of missing data within the regression function.
Hence, we compute these partial models on a different set of cases as
our main models presented in the manuscript.</p>
<pre class="r"><code># Select vars we need
tm &lt;- tm_all %&gt;% 
  select(alter, gender, edu_gr, lr, fin_sit, fair_share, status_anx, anti_immigration, anti_feminism, anti_trans, econ_situation_th, second_class, gdr, swd_gr, pol_distrust, RR, afd, bsw, persgew)

# surveydesign object
tm_w &lt;- svydesign(id=~1, weights=~persgew, data = tm)

##### Cultural conservatism #####
m2_afd &lt;- svyglm(afd~anti_immigration+anti_feminism+anti_trans,
                 family = quasibinomial(link = &quot;logit&quot;),
                 design = tm_w)

m2_bsw &lt;- svyglm(bsw~anti_immigration+anti_feminism+anti_trans,
                 family = quasibinomial(link = &quot;logit&quot;),
                 design = tm_w)


##### Political grievances #####
m3_afd &lt;- svyglm(afd~swd_gr+pol_distrust+RR+second_class+gdr,
                 family = quasibinomial(link=&quot;logit&quot;),
                 design = tm_w)

m3_bsw &lt;- svyglm(bsw~swd_gr+pol_distrust+RR+second_class+gdr,
                 family = quasibinomial(link=&quot;logit&quot;),
                 design = tm_w)</code></pre>
<pre class="r"><code>modelsummary(
  list(&quot;Cultural grievances (AfD)&quot; = m2_afd,
       &quot;Cultural grievances (BSW)&quot; = m2_bsw,
       &quot;Political grievances (AfD)&quot; = m3_afd,
       &quot;Political grievances (BSW)&quot; = m3_bsw),
  exponentiate = T, # get OR
  stars = T,
  output = &quot;kableExtra&quot;,
  statistic = &quot;conf.int&quot;,
  gof_omit = &quot;RMSE|R2|Deviance|F|AIC|BIC|Log.Lik&quot;,
  title = &quot;Partial logistic regression models predicting AfD and BSW vote choice (Odds Ratios)&quot;,
  coef_rename = coef_names
)</code></pre>
<table style="NAborder-bottom: 0; width: auto !important; margin-left: auto; margin-right: auto;" class="table">
<caption>
Partial logistic regression models predicting AfD and BSW vote choice
(Odds Ratios)
</caption>
<thead>
<tr>
<th style="text-align:left;">
</th>
<th style="text-align:center;">
Cultural grievances (AfD)
</th>
<th style="text-align:center;">
Cultural grievances (BSW)
</th>
<th style="text-align:center;">
Political grievances (AfD)
</th>
<th style="text-align:center;">
Political grievances (BSW)
</th>
</tr>
</thead>
<tbody>
<tr>
<td style="text-align:left;">
(Intercept)
</td>
<td style="text-align:center;">
0.003***
</td>
<td style="text-align:center;">
0.104***
</td>
<td style="text-align:center;">
0.000***
</td>
<td style="text-align:center;">
0.087***
</td>
</tr>
<tr>
<td style="text-align:left;">
</td>
<td style="text-align:center;">
[0.001, 0.009]
</td>
<td style="text-align:center;">
[0.052, 0.210]
</td>
<td style="text-align:center;">
[0.000, 0.001]
</td>
<td style="text-align:center;">
[0.031, 0.246]
</td>
</tr>
<tr>
<td style="text-align:left;">
Anti-immigrant attitudes
</td>
<td style="text-align:center;">
4.150***
</td>
<td style="text-align:center;">
1.159
</td>
<td style="text-align:center;">
</td>
<td style="text-align:center;">
</td>
</tr>
<tr>
<td style="text-align:left;">
</td>
<td style="text-align:center;">
[2.911, 5.915]
</td>
<td style="text-align:center;">
[0.859, 1.564]
</td>
<td style="text-align:center;">
</td>
<td style="text-align:center;">
</td>
</tr>
<tr>
<td style="text-align:left;">
Anti-feminism
</td>
<td style="text-align:center;">
2.473**
</td>
<td style="text-align:center;">
0.652
</td>
<td style="text-align:center;">
</td>
<td style="text-align:center;">
</td>
</tr>
<tr>
<td style="text-align:left;">
</td>
<td style="text-align:center;">
[1.398, 4.375]
</td>
<td style="text-align:center;">
[0.313, 1.359]
</td>
<td style="text-align:center;">
</td>
<td style="text-align:center;">
</td>
</tr>
<tr>
<td style="text-align:left;">
Anti-trans attitudes
</td>
<td style="text-align:center;">
1.353
</td>
<td style="text-align:center;">
0.986
</td>
<td style="text-align:center;">
</td>
<td style="text-align:center;">
</td>
</tr>
<tr>
<td style="text-align:left;">
</td>
<td style="text-align:center;">
[0.760, 2.411]
</td>
<td style="text-align:center;">
[0.498, 1.951]
</td>
<td style="text-align:center;">
</td>
<td style="text-align:center;">
</td>
</tr>
<tr>
<td style="text-align:left;">
Dissatisf. with democracy
</td>
<td style="text-align:center;">
</td>
<td style="text-align:center;">
</td>
<td style="text-align:center;">
4.558***
</td>
<td style="text-align:center;">
2.780**
</td>
</tr>
<tr>
<td style="text-align:left;">
</td>
<td style="text-align:center;">
</td>
<td style="text-align:center;">
</td>
<td style="text-align:center;">
[1.950, 10.653]
</td>
<td style="text-align:center;">
[1.392, 5.554]
</td>
</tr>
<tr>
<td style="text-align:left;">
Distrust
</td>
<td style="text-align:center;">
</td>
<td style="text-align:center;">
</td>
<td style="text-align:center;">
3.170***
</td>
<td style="text-align:center;">
0.861
</td>
</tr>
<tr>
<td style="text-align:left;">
</td>
<td style="text-align:center;">
</td>
<td style="text-align:center;">
</td>
<td style="text-align:center;">
[2.134, 4.707]
</td>
<td style="text-align:center;">
[0.653, 1.136]
</td>
</tr>
<tr>
<td style="text-align:left;">
Place-based resentment
</td>
<td style="text-align:center;">
</td>
<td style="text-align:center;">
</td>
<td style="text-align:center;">
1.723*
</td>
<td style="text-align:center;">
1.021
</td>
</tr>
<tr>
<td style="text-align:left;">
</td>
<td style="text-align:center;">
</td>
<td style="text-align:center;">
</td>
<td style="text-align:center;">
[1.073, 2.766]
</td>
<td style="text-align:center;">
[0.696, 1.500]
</td>
</tr>
<tr>
<td style="text-align:left;">
Second class (yes)
</td>
<td style="text-align:center;">
</td>
<td style="text-align:center;">
</td>
<td style="text-align:center;">
0.622
</td>
<td style="text-align:center;">
0.921
</td>
</tr>
<tr>
<td style="text-align:left;">
</td>
<td style="text-align:center;">
</td>
<td style="text-align:center;">
</td>
<td style="text-align:center;">
[0.346, 1.117]
</td>
<td style="text-align:center;">
[0.520, 1.631]
</td>
</tr>
<tr>
<td style="text-align:left;">
GDR nostalgia
</td>
<td style="text-align:center;">
</td>
<td style="text-align:center;">
</td>
<td style="text-align:center;">
1.806*
</td>
<td style="text-align:center;">
1.750*
</td>
</tr>
<tr>
<td style="text-align:left;box-shadow: 0px 1.5px">
</td>
<td style="text-align:center;box-shadow: 0px 1.5px">
</td>
<td style="text-align:center;box-shadow: 0px 1.5px">
</td>
<td style="text-align:center;box-shadow: 0px 1.5px">
[1.070, 3.048]
</td>
<td style="text-align:center;box-shadow: 0px 1.5px">
[1.023, 2.993]
</td>
</tr>
<tr>
<td style="text-align:left;">
Num.Obs.
</td>
<td style="text-align:center;">
1423
</td>
<td style="text-align:center;">
1423
</td>
<td style="text-align:center;">
1195
</td>
<td style="text-align:center;">
1195
</td>
</tr>
</tbody>
<tfoot>
<tr>
<td style="padding: 0; " colspan="100%">
<sup></sup> + p &lt; 0.1, * p &lt; 0.05, ** p &lt; 0.01, *** p &lt;
0.001
</td>
</tr>
</tfoot>
</table>
<p>Note that when we let R handle the missing data in the regression
function, we observe no changes regarding our main IVs of interest.</p>
</div>
<div id="full-svyglm-models-with-left-right-self-placement" class="section level2">
<h2>2 Full svyglm models with left-right self-placement</h2>
<p>In this model, we add left-right self-placement as an additional
control variable.</p>
<pre class="r"><code># select vars we need
tm &lt;- tm_all %&gt;% 
  select(alter, gender, edu_gr, lr, fin_sit, fair_share, status_anx, anti_immigration, anti_feminism, anti_trans, econ_situation_th, second_class, gdr, swd_gr, pol_distrust, RR, afd, bsw, persgew)

# data w/o NAs (then all models have same cases)
tm &lt;- tm %&gt;% 
  drop_na()

# svydesign
tm_w &lt;- svydesign(id=~1,weights = ~persgew, data=tm)

# MODELS
m_afd &lt;- svyglm(afd~anti_immigration+anti_feminism+anti_trans+second_class+gdr+swd_gr+pol_distrust+RR+alter+gender+edu_gr+fin_sit+fair_share+status_anx+econ_situation_th+lr,
                family = quasibinomial(link=&quot;logit&quot;),
                design = tm_w)

m_bsw &lt;- svyglm(bsw~anti_immigration+anti_feminism+anti_trans+second_class+gdr+swd_gr+pol_distrust+RR+alter+gender+edu_gr+fin_sit+fair_share+status_anx+econ_situation_th+lr,
                family = quasibinomial(link=&quot;logit&quot;),
                design = tm_w)</code></pre>
<pre class="r"><code>modelsummary(
  list(&quot;AfD&quot; = m_afd, &quot;BSW&quot; = m_bsw),
  exponentiate = T, # get OR
  stars = T,
  output = &quot;kableExtra&quot;,
  statistic = &quot;conf.int&quot;,
  gof_omit = &quot;RMSE|R2|Deviance|F|AIC|BIC|Log.Lik&quot;,
  title = &quot;Logistic regression models predicting AfD and BSW vote choice including left-right self-placement (Odds Ratios)&quot;,
  coef_rename = coef_names
)</code></pre>
<table style="NAborder-bottom: 0; width: auto !important; margin-left: auto; margin-right: auto;" class="table">
<caption>
Logistic regression models predicting AfD and BSW vote choice including
left-right self-placement (Odds Ratios)
</caption>
<thead>
<tr>
<th style="text-align:left;">
</th>
<th style="text-align:center;">
AfD
</th>
<th style="text-align:center;">
BSW
</th>
</tr>
</thead>
<tbody>
<tr>
<td style="text-align:left;">
(Intercept)
</td>
<td style="text-align:center;">
0.000***
</td>
<td style="text-align:center;">
0.119**
</td>
</tr>
<tr>
<td style="text-align:left;">
</td>
<td style="text-align:center;">
[0.000, 0.000]
</td>
<td style="text-align:center;">
[0.026, 0.553]
</td>
</tr>
<tr>
<td style="text-align:left;">
Anti-immigrant attitudes
</td>
<td style="text-align:center;">
1.414
</td>
<td style="text-align:center;">
0.953
</td>
</tr>
<tr>
<td style="text-align:left;">
</td>
<td style="text-align:center;">
[0.887, 2.253]
</td>
<td style="text-align:center;">
[0.520, 1.747]
</td>
</tr>
<tr>
<td style="text-align:left;">
Anti-feminism
</td>
<td style="text-align:center;">
1.292
</td>
<td style="text-align:center;">
0.757
</td>
</tr>
<tr>
<td style="text-align:left;">
</td>
<td style="text-align:center;">
[0.620, 2.695]
</td>
<td style="text-align:center;">
[0.306, 1.875]
</td>
</tr>
<tr>
<td style="text-align:left;">
Anti-trans attitudes
</td>
<td style="text-align:center;">
1.360
</td>
<td style="text-align:center;">
0.712
</td>
</tr>
<tr>
<td style="text-align:left;">
</td>
<td style="text-align:center;">
[0.635, 2.914]
</td>
<td style="text-align:center;">
[0.313, 1.622]
</td>
</tr>
<tr>
<td style="text-align:left;">
Second class (yes)
</td>
<td style="text-align:center;">
0.542
</td>
<td style="text-align:center;">
1.345
</td>
</tr>
<tr>
<td style="text-align:left;">
</td>
<td style="text-align:center;">
[0.232, 1.269]
</td>
<td style="text-align:center;">
[0.645, 2.805]
</td>
</tr>
<tr>
<td style="text-align:left;">
GDR nostalgia
</td>
<td style="text-align:center;">
1.392
</td>
<td style="text-align:center;">
1.930+
</td>
</tr>
<tr>
<td style="text-align:left;">
</td>
<td style="text-align:center;">
[0.656, 2.953]
</td>
<td style="text-align:center;">
[0.966, 3.854]
</td>
</tr>
<tr>
<td style="text-align:left;">
Dissatisf. with democracy
</td>
<td style="text-align:center;">
3.433*
</td>
<td style="text-align:center;">
3.388***
</td>
</tr>
<tr>
<td style="text-align:left;">
</td>
<td style="text-align:center;">
[1.128, 10.450]
</td>
<td style="text-align:center;">
[1.682, 6.825]
</td>
</tr>
<tr>
<td style="text-align:left;">
Distrust
</td>
<td style="text-align:center;">
2.285***
</td>
<td style="text-align:center;">
1.199
</td>
</tr>
<tr>
<td style="text-align:left;">
</td>
<td style="text-align:center;">
[1.446, 3.612]
</td>
<td style="text-align:center;">
[0.848, 1.696]
</td>
</tr>
<tr>
<td style="text-align:left;">
Place-based resentment
</td>
<td style="text-align:center;">
1.608+
</td>
<td style="text-align:center;">
1.080
</td>
</tr>
<tr>
<td style="text-align:left;">
</td>
<td style="text-align:center;">
[0.922, 2.805]
</td>
<td style="text-align:center;">
[0.657, 1.775]
</td>
</tr>
<tr>
<td style="text-align:left;">
Age
</td>
<td style="text-align:center;">
0.996
</td>
<td style="text-align:center;">
1.011
</td>
</tr>
<tr>
<td style="text-align:left;">
</td>
<td style="text-align:center;">
[0.977, 1.015]
</td>
<td style="text-align:center;">
[0.996, 1.027]
</td>
</tr>
<tr>
<td style="text-align:left;">
Gender (female)
</td>
<td style="text-align:center;">
1.151
</td>
<td style="text-align:center;">
0.787
</td>
</tr>
<tr>
<td style="text-align:left;">
</td>
<td style="text-align:center;">
[0.545, 2.429]
</td>
<td style="text-align:center;">
[0.439, 1.411]
</td>
</tr>
<tr>
<td style="text-align:left;">
Education (no High school diploma)
</td>
<td style="text-align:center;">
1.496
</td>
<td style="text-align:center;">
0.520*
</td>
</tr>
<tr>
<td style="text-align:left;">
</td>
<td style="text-align:center;">
[0.718, 3.117]
</td>
<td style="text-align:center;">
[0.290, 0.935]
</td>
</tr>
<tr>
<td style="text-align:left;">
Indiv. financial situation (bad)
</td>
<td style="text-align:center;">
1.037
</td>
<td style="text-align:center;">
0.521
</td>
</tr>
<tr>
<td style="text-align:left;">
</td>
<td style="text-align:center;">
[0.487, 2.208]
</td>
<td style="text-align:center;">
[0.237, 1.145]
</td>
</tr>
<tr>
<td style="text-align:left;">
Econ. deprivation
</td>
<td style="text-align:center;">
1.332
</td>
<td style="text-align:center;">
0.911
</td>
</tr>
<tr>
<td style="text-align:left;">
</td>
<td style="text-align:center;">
[0.678, 2.618]
</td>
<td style="text-align:center;">
[0.482, 1.721]
</td>
</tr>
<tr>
<td style="text-align:left;">
Status anxiety
</td>
<td style="text-align:center;">
0.935
</td>
<td style="text-align:center;">
0.761
</td>
</tr>
<tr>
<td style="text-align:left;">
</td>
<td style="text-align:center;">
[0.399, 2.192]
</td>
<td style="text-align:center;">
[0.360, 1.609]
</td>
</tr>
<tr>
<td style="text-align:left;">
Economic situation Thuringia (bad)
</td>
<td style="text-align:center;">
1.065
</td>
<td style="text-align:center;">
1.239
</td>
</tr>
<tr>
<td style="text-align:left;">
</td>
<td style="text-align:center;">
[0.518, 2.189]
</td>
<td style="text-align:center;">
[0.659, 2.329]
</td>
</tr>
<tr>
<td style="text-align:left;">
Left-right self-placement (right)
</td>
<td style="text-align:center;">
3.552***
</td>
<td style="text-align:center;">
0.660*
</td>
</tr>
<tr>
<td style="text-align:left;box-shadow: 0px 1.5px">
</td>
<td style="text-align:center;box-shadow: 0px 1.5px">
[2.174, 5.803]
</td>
<td style="text-align:center;box-shadow: 0px 1.5px">
[0.473, 0.920]
</td>
</tr>
<tr>
<td style="text-align:left;">
Num.Obs.
</td>
<td style="text-align:center;">
975
</td>
<td style="text-align:center;">
975
</td>
</tr>
</tbody>
<tfoot>
<tr>
<td style="padding: 0; " colspan="100%">
<sup></sup> + p &lt; 0.1, * p &lt; 0.05, ** p &lt; 0.01, *** p &lt;
0.001
</td>
</tr>
</tfoot>
</table>
<p><strong>Anti-immigrant views lose significance in the AfD
model.</strong> Likely this is due to the fact the anti-immigrant
attitudes and left-right self-placement are fairly strong
correlated:</p>
<pre class="r"><code>indep_test(tm$anti_immigration, tm$lr,
           weights = tm$persgew,
           method = &quot;pearson&quot;) </code></pre>
<pre><code>##    estimate statistic                             p_value   n_eff  method
## 1 0.4958745  10.85591 0.000000000000000000000000001869258 401.494 pearson
##   alternative
## 1   two-sided</code></pre>
<p>This makes sense, as individuals with anti-immigrant views tend to
place themselves further to the right on the ideological spectrum.</p>
<p>For <strong>BSW, left-right self-placement</strong> shows a
<strong>significant negative</strong> association. Since higher values
indicate a more right-leaning position, this means that placing oneself
more to the left is associated with a greater likelihood of voting for
BSW.</p>
<div id="model-fit-statistics-3" class="section level4">
<h4>Model Fit Statistics</h4>
<p>To view model fit statistics, please set <code>eval = F</code>and
<code>echo = F</code>to <code>TRUE</code> in the markdown file.</p>
</div>
</div>
<div id="model-without-gdr-nostalgia" class="section level2">
<h2>3 Model <em>without</em> GDR nostalgia</h2>
<p>In this model, we remove GDR nostalgia as a predictor as this
variable has many missing cases (NA &gt; 350), especially among younger
respondents.</p>
<pre class="r"><code># select vars we need
tm &lt;- tm_all %&gt;% 
  select(alter, gender, edu_gr, lr, fin_sit, fair_share, status_anx, anti_immigration, anti_feminism, anti_trans, econ_situation_th, second_class, swd_gr, pol_distrust, RR, afd, bsw, persgew)

# data w/o NAs
tm &lt;- tm %&gt;% 
  drop_na()

# Surveydesign object
tm_w &lt;- svydesign(id=~1, weights=~persgew, data = tm)

# MODELS
m_afd &lt;- svyglm(afd~anti_immigration+anti_feminism+anti_trans+second_class+swd_gr+pol_distrust+RR+alter+gender+edu_gr+fin_sit+fair_share+status_anx+econ_situation_th,
                family = quasibinomial(link=&quot;logit&quot;),
                design = tm_w)

m_bsw &lt;- svyglm(bsw~anti_immigration+anti_feminism+anti_trans+second_class+swd_gr+pol_distrust+RR+alter+gender+edu_gr+fin_sit+fair_share+status_anx+econ_situation_th,
                family = quasibinomial(link=&quot;logit&quot;),
                design = tm_w)</code></pre>
<pre class="r"><code>modelsummary(
  list(&quot;AfD&quot; = m_afd, &quot;BSW&quot; = m_bsw),
  exponentiate = T, # get OR
  stars = T,
  output = &quot;kableExtra&quot;,
  statistic = &quot;conf.int&quot;,
  gof_omit = &quot;RMSE|R2|Deviance|F|AIC|BIC|Log.Lik&quot;,
  title = &quot;Logistic regression models predicting AfD and BSW vote choice excluding GDR nostalgia (Odds Ratios)&quot;,
  coef_rename = coef_names
)</code></pre>
<table style="NAborder-bottom: 0; width: auto !important; margin-left: auto; margin-right: auto;" class="table">
<caption>
Logistic regression models predicting AfD and BSW vote choice excluding
GDR nostalgia (Odds Ratios)
</caption>
<thead>
<tr>
<th style="text-align:left;">
</th>
<th style="text-align:center;">
AfD
</th>
<th style="text-align:center;">
BSW
</th>
</tr>
</thead>
<tbody>
<tr>
<td style="text-align:left;">
(Intercept)
</td>
<td style="text-align:center;">
0.000***
</td>
<td style="text-align:center;">
0.057***
</td>
</tr>
<tr>
<td style="text-align:left;">
</td>
<td style="text-align:center;">
[0.000, 0.001]
</td>
<td style="text-align:center;">
[0.014, 0.237]
</td>
</tr>
<tr>
<td style="text-align:left;">
Anti-immigrant attitudes
</td>
<td style="text-align:center;">
2.755***
</td>
<td style="text-align:center;">
0.864
</td>
</tr>
<tr>
<td style="text-align:left;">
</td>
<td style="text-align:center;">
[1.768, 4.292]
</td>
<td style="text-align:center;">
[0.560, 1.331]
</td>
</tr>
<tr>
<td style="text-align:left;">
Anti-feminism
</td>
<td style="text-align:center;">
1.785+
</td>
<td style="text-align:center;">
0.650
</td>
</tr>
<tr>
<td style="text-align:left;">
</td>
<td style="text-align:center;">
[0.939, 3.393]
</td>
<td style="text-align:center;">
[0.280, 1.510]
</td>
</tr>
<tr>
<td style="text-align:left;">
Anti-trans attitudes
</td>
<td style="text-align:center;">
1.196
</td>
<td style="text-align:center;">
0.821
</td>
</tr>
<tr>
<td style="text-align:left;">
</td>
<td style="text-align:center;">
[0.620, 2.306]
</td>
<td style="text-align:center;">
[0.398, 1.695]
</td>
</tr>
<tr>
<td style="text-align:left;">
Second class (yes)
</td>
<td style="text-align:center;">
0.684
</td>
<td style="text-align:center;">
1.669
</td>
</tr>
<tr>
<td style="text-align:left;">
</td>
<td style="text-align:center;">
[0.344, 1.360]
</td>
<td style="text-align:center;">
[0.875, 3.184]
</td>
</tr>
<tr>
<td style="text-align:left;">
Dissatisf. with democracy
</td>
<td style="text-align:center;">
3.970**
</td>
<td style="text-align:center;">
2.676**
</td>
</tr>
<tr>
<td style="text-align:left;">
</td>
<td style="text-align:center;">
[1.617, 9.748]
</td>
<td style="text-align:center;">
[1.398, 5.121]
</td>
</tr>
<tr>
<td style="text-align:left;">
Distrust
</td>
<td style="text-align:center;">
2.574***
</td>
<td style="text-align:center;">
1.130
</td>
</tr>
<tr>
<td style="text-align:left;">
</td>
<td style="text-align:center;">
[1.692, 3.915]
</td>
<td style="text-align:center;">
[0.818, 1.561]
</td>
</tr>
<tr>
<td style="text-align:left;">
Place-based resentment
</td>
<td style="text-align:center;">
1.769*
</td>
<td style="text-align:center;">
0.972
</td>
</tr>
<tr>
<td style="text-align:left;">
</td>
<td style="text-align:center;">
[1.064, 2.942]
</td>
<td style="text-align:center;">
[0.618, 1.530]
</td>
</tr>
<tr>
<td style="text-align:left;">
Age
</td>
<td style="text-align:center;">
0.983*
</td>
<td style="text-align:center;">
1.014*
</td>
</tr>
<tr>
<td style="text-align:left;">
</td>
<td style="text-align:center;">
[0.969, 0.998]
</td>
<td style="text-align:center;">
[1.001, 1.028]
</td>
</tr>
<tr>
<td style="text-align:left;">
Gender (female)
</td>
<td style="text-align:center;">
0.883
</td>
<td style="text-align:center;">
0.968
</td>
</tr>
<tr>
<td style="text-align:left;">
</td>
<td style="text-align:center;">
[0.479, 1.628]
</td>
<td style="text-align:center;">
[0.570, 1.644]
</td>
</tr>
<tr>
<td style="text-align:left;">
Education (no High school diploma)
</td>
<td style="text-align:center;">
1.740+
</td>
<td style="text-align:center;">
0.558*
</td>
</tr>
<tr>
<td style="text-align:left;">
</td>
<td style="text-align:center;">
[0.954, 3.172]
</td>
<td style="text-align:center;">
[0.330, 0.945]
</td>
</tr>
<tr>
<td style="text-align:left;">
Indiv. financial situation (bad)
</td>
<td style="text-align:center;">
0.810
</td>
<td style="text-align:center;">
0.542+
</td>
</tr>
<tr>
<td style="text-align:left;">
</td>
<td style="text-align:center;">
[0.428, 1.533]
</td>
<td style="text-align:center;">
[0.262, 1.123]
</td>
</tr>
<tr>
<td style="text-align:left;">
Econ. deprivation
</td>
<td style="text-align:center;">
1.264
</td>
<td style="text-align:center;">
1.030
</td>
</tr>
<tr>
<td style="text-align:left;">
</td>
<td style="text-align:center;">
[0.673, 2.374]
</td>
<td style="text-align:center;">
[0.594, 1.787]
</td>
</tr>
<tr>
<td style="text-align:left;">
Status anxiety
</td>
<td style="text-align:center;">
0.737
</td>
<td style="text-align:center;">
0.839
</td>
</tr>
<tr>
<td style="text-align:left;">
</td>
<td style="text-align:center;">
[0.374, 1.449]
</td>
<td style="text-align:center;">
[0.435, 1.618]
</td>
</tr>
<tr>
<td style="text-align:left;">
Economic situation Thuringia (bad)
</td>
<td style="text-align:center;">
1.665
</td>
<td style="text-align:center;">
1.003
</td>
</tr>
<tr>
<td style="text-align:left;box-shadow: 0px 1.5px">
</td>
<td style="text-align:center;box-shadow: 0px 1.5px">
[0.889, 3.118]
</td>
<td style="text-align:center;box-shadow: 0px 1.5px">
[0.551, 1.825]
</td>
</tr>
<tr>
<td style="text-align:left;">
Num.Obs.
</td>
<td style="text-align:center;">
1135
</td>
<td style="text-align:center;">
1135
</td>
</tr>
</tbody>
<tfoot>
<tr>
<td style="padding: 0; " colspan="100%">
<sup></sup> + p &lt; 0.1, * p &lt; 0.05, ** p &lt; 0.01, *** p &lt;
0.001
</td>
</tr>
</tfoot>
</table>
<p>Deleting this variable does not affect the AfD model, but it further
reduces the explanatory power of the BSW models, as we lose a
significant predictor.</p>
<div id="model-fit-statistics-4" class="section level4">
<h4>Model Fit Statistics</h4>
<p>To view model fit statistics, please set <code>eval = F</code>and
<code>echo = F</code>to <code>TRUE</code> in the markdown file.</p>
</div>
</div>
<div id="additional-predictors-political-grievances" class="section level2">
<h2>4 Additional Predictors Political Grievances</h2>
<p>We look at anti-party sentiment, external efficacy and perception of
responsiveness as additional political grievances. We leave GDR
nostalgia out of the model (due to the relatively high no. of NAs)</p>
<pre class="r"><code># select vars we need
tm &lt;- tm_all %&gt;% 
  select(alter, gender, edu_gr, lr, fin_sit, fair_share, status_anx, anti_immigration, anti_feminism, anti_trans, econ_situation_th, second_class, swd_gr, pol_distrust, RR, afd, bsw, persgew, dissat_parties, ext_effic, responsive)

# data w/o NAs
tm &lt;- tm %&gt;% 
  drop_na()

# Surveydesign object
tm_w &lt;- svydesign(id=~1, weights=~persgew, data = tm)

# Full models
m_afd &lt;- svyglm(afd~anti_immigration+anti_feminism+anti_trans+second_class+swd_gr+pol_distrust+dissat_parties+ext_effic+responsive+RR+alter+gender+edu_gr+fin_sit+fair_share+status_anx+econ_situation_th,
                family = quasibinomial(link=&quot;logit&quot;),
                design = tm_w)

m_bsw &lt;- svyglm(bsw~anti_immigration+anti_feminism+anti_trans+second_class+swd_gr+pol_distrust+dissat_parties+ext_effic+responsive+RR+alter+gender+edu_gr+fin_sit+fair_share+status_anx+econ_situation_th,
                family = quasibinomial(link=&quot;logit&quot;),
                design = tm_w)

# partial model all political grievances
m1_afd &lt;- svyglm(afd~second_class+swd_gr+pol_distrust+dissat_parties+ext_effic+responsive+RR,
                family = quasibinomial(link=&quot;logit&quot;),
                design = tm_w)

m1_bsw &lt;- svyglm(bsw~second_class+swd_gr+pol_distrust+dissat_parties+ext_effic+responsive+RR,
                family = quasibinomial(link=&quot;logit&quot;),
                design = tm_w)

# only anti-party sentiment, external efficacy, and responsiveness
m2_afd &lt;- svyglm(afd~dissat_parties+ext_effic+responsive,
                family = quasibinomial(link=&quot;logit&quot;),
                design = tm_w)

m2_bsw &lt;- svyglm(bsw~dissat_parties+ext_effic+responsive,
                family = quasibinomial(link=&quot;logit&quot;),
                design = tm_w)</code></pre>
<pre class="r"><code>modelsummary(
  list(&quot;AfD&quot; = m_afd, &quot;BSW&quot; = m_bsw,
       &quot;AfD&quot; = m1_afd, &quot;BSW&quot; = m1_bsw,
       &quot;AfD&quot; = m2_afd, &quot;BSW&quot; = m2_bsw),
  exponentiate = T, # get OR
  stars = T,
  output = &quot;kableExtra&quot;,
  statistic = &quot;conf.int&quot;,
  gof_omit = &quot;RMSE|R2|Deviance|F|AIC|BIC|Log.Lik&quot;,
  title = &quot;Logistic regression models predicting AfD and BSW vote choice using additional predictors for political grievances (Odds Ratios)&quot;,
  coef_rename = coef_names
)</code></pre>
<table style="NAborder-bottom: 0; width: auto !important; margin-left: auto; margin-right: auto;" class="table">
<caption>
Logistic regression models predicting AfD and BSW vote choice using
additional predictors for political grievances (Odds Ratios)
</caption>
<thead>
<tr>
<th style="text-align:left;">
</th>
<th style="text-align:center;">
AfD
</th>
<th style="text-align:center;">
BSW
</th>
<th style="text-align:center;">
AfD
</th>
<th style="text-align:center;">
BSW
</th>
<th style="text-align:center;">
AfD
</th>
<th style="text-align:center;">
BSW
</th>
</tr>
</thead>
<tbody>
<tr>
<td style="text-align:left;">
(Intercept)
</td>
<td style="text-align:center;">
0.000***
</td>
<td style="text-align:center;">
0.058***
</td>
<td style="text-align:center;">
0.000***
</td>
<td style="text-align:center;">
0.097***
</td>
<td style="text-align:center;">
0.024***
</td>
<td style="text-align:center;">
0.081***
</td>
</tr>
<tr>
<td style="text-align:left;">
</td>
<td style="text-align:center;">
[0.000, 0.001]
</td>
<td style="text-align:center;">
[0.012, 0.282]
</td>
<td style="text-align:center;">
[0.000, 0.001]
</td>
<td style="text-align:center;">
[0.028, 0.338]
</td>
<td style="text-align:center;">
[0.011, 0.052]
</td>
<td style="text-align:center;">
[0.037, 0.174]
</td>
</tr>
<tr>
<td style="text-align:left;">
Anti-immigrant attitudes
</td>
<td style="text-align:center;">
2.476***
</td>
<td style="text-align:center;">
0.842
</td>
<td style="text-align:center;">
</td>
<td style="text-align:center;">
</td>
<td style="text-align:center;">
</td>
<td style="text-align:center;">
</td>
</tr>
<tr>
<td style="text-align:left;">
</td>
<td style="text-align:center;">
[1.553, 3.947]
</td>
<td style="text-align:center;">
[0.540, 1.314]
</td>
<td style="text-align:center;">
</td>
<td style="text-align:center;">
</td>
<td style="text-align:center;">
</td>
<td style="text-align:center;">
</td>
</tr>
<tr>
<td style="text-align:left;">
Anti-feminism
</td>
<td style="text-align:center;">
2.109*
</td>
<td style="text-align:center;">
0.630
</td>
<td style="text-align:center;">
</td>
<td style="text-align:center;">
</td>
<td style="text-align:center;">
</td>
<td style="text-align:center;">
</td>
</tr>
<tr>
<td style="text-align:left;">
</td>
<td style="text-align:center;">
[1.100, 4.045]
</td>
<td style="text-align:center;">
[0.274, 1.450]
</td>
<td style="text-align:center;">
</td>
<td style="text-align:center;">
</td>
<td style="text-align:center;">
</td>
<td style="text-align:center;">
</td>
</tr>
<tr>
<td style="text-align:left;">
Anti-trans attitudes
</td>
<td style="text-align:center;">
1.241
</td>
<td style="text-align:center;">
0.865
</td>
<td style="text-align:center;">
</td>
<td style="text-align:center;">
</td>
<td style="text-align:center;">
</td>
<td style="text-align:center;">
</td>
</tr>
<tr>
<td style="text-align:left;">
</td>
<td style="text-align:center;">
[0.631, 2.442]
</td>
<td style="text-align:center;">
[0.421, 1.776]
</td>
<td style="text-align:center;">
</td>
<td style="text-align:center;">
</td>
<td style="text-align:center;">
</td>
<td style="text-align:center;">
</td>
</tr>
<tr>
<td style="text-align:left;">
Second class (yes)
</td>
<td style="text-align:center;">
0.651
</td>
<td style="text-align:center;">
1.618
</td>
<td style="text-align:center;">
0.837
</td>
<td style="text-align:center;">
1.219
</td>
<td style="text-align:center;">
</td>
<td style="text-align:center;">
</td>
</tr>
<tr>
<td style="text-align:left;">
</td>
<td style="text-align:center;">
[0.325, 1.303]
</td>
<td style="text-align:center;">
[0.838, 3.127]
</td>
<td style="text-align:center;">
[0.453, 1.548]
</td>
<td style="text-align:center;">
[0.671, 2.216]
</td>
<td style="text-align:center;">
</td>
<td style="text-align:center;">
</td>
</tr>
<tr>
<td style="text-align:left;">
Dissatisf. with democracy
</td>
<td style="text-align:center;">
4.506**
</td>
<td style="text-align:center;">
2.230*
</td>
<td style="text-align:center;">
5.824***
</td>
<td style="text-align:center;">
1.879+
</td>
<td style="text-align:center;">
</td>
<td style="text-align:center;">
</td>
</tr>
<tr>
<td style="text-align:left;">
</td>
<td style="text-align:center;">
[1.584, 12.816]
</td>
<td style="text-align:center;">
[1.130, 4.401]
</td>
<td style="text-align:center;">
[2.099, 16.156]
</td>
<td style="text-align:center;">
[0.909, 3.886]
</td>
<td style="text-align:center;">
</td>
<td style="text-align:center;">
</td>
</tr>
<tr>
<td style="text-align:left;">
Distrust
</td>
<td style="text-align:center;">
2.211***
</td>
<td style="text-align:center;">
1.104
</td>
<td style="text-align:center;">
2.827***
</td>
<td style="text-align:center;">
0.945
</td>
<td style="text-align:center;">
</td>
<td style="text-align:center;">
</td>
</tr>
<tr>
<td style="text-align:left;">
</td>
<td style="text-align:center;">
[1.460, 3.349]
</td>
<td style="text-align:center;">
[0.793, 1.537]
</td>
<td style="text-align:center;">
[1.878, 4.257]
</td>
<td style="text-align:center;">
[0.692, 1.291]
</td>
<td style="text-align:center;">
</td>
<td style="text-align:center;">
</td>
</tr>
<tr>
<td style="text-align:left;">
Anti-party sentiment
</td>
<td style="text-align:center;">
1.220
</td>
<td style="text-align:center;">
1.511
</td>
<td style="text-align:center;">
1.367
</td>
<td style="text-align:center;">
1.406
</td>
<td style="text-align:center;">
2.592+
</td>
<td style="text-align:center;">
1.614
</td>
</tr>
<tr>
<td style="text-align:left;">
</td>
<td style="text-align:center;">
[0.339, 4.383]
</td>
<td style="text-align:center;">
[0.646, 3.533]
</td>
<td style="text-align:center;">
[0.437, 4.279]
</td>
<td style="text-align:center;">
[0.609, 3.249]
</td>
<td style="text-align:center;">
[0.944, 7.117]
</td>
<td style="text-align:center;">
[0.719, 3.621]
</td>
</tr>
<tr>
<td style="text-align:left;">
External efficacy (low)
</td>
<td style="text-align:center;">
1.144
</td>
<td style="text-align:center;">
1.539
</td>
<td style="text-align:center;">
1.341
</td>
<td style="text-align:center;">
1.435
</td>
<td style="text-align:center;">
2.268*
</td>
<td style="text-align:center;">
1.568
</td>
</tr>
<tr>
<td style="text-align:left;">
</td>
<td style="text-align:center;">
[0.513, 2.551]
</td>
<td style="text-align:center;">
[0.793, 2.984]
</td>
<td style="text-align:center;">
[0.675, 2.667]
</td>
<td style="text-align:center;">
[0.748, 2.752]
</td>
<td style="text-align:center;">
[1.153, 4.461]
</td>
<td style="text-align:center;">
[0.876, 2.808]
</td>
</tr>
<tr>
<td style="text-align:left;">
Responsiveness
</td>
<td style="text-align:center;">
1.774
</td>
<td style="text-align:center;">
0.901
</td>
<td style="text-align:center;">
1.922+
</td>
<td style="text-align:center;">
0.775
</td>
<td style="text-align:center;">
4.482***
</td>
<td style="text-align:center;">
0.877
</td>
</tr>
<tr>
<td style="text-align:left;">
</td>
<td style="text-align:center;">
[0.796, 3.955]
</td>
<td style="text-align:center;">
[0.440, 1.844]
</td>
<td style="text-align:center;">
[0.913, 4.048]
</td>
<td style="text-align:center;">
[0.387, 1.551]
</td>
<td style="text-align:center;">
[2.086, 9.631]
</td>
<td style="text-align:center;">
[0.453, 1.700]
</td>
</tr>
<tr>
<td style="text-align:left;">
Place-based resentment
</td>
<td style="text-align:center;">
1.666*
</td>
<td style="text-align:center;">
0.907
</td>
<td style="text-align:center;">
1.768*
</td>
<td style="text-align:center;">
0.912
</td>
<td style="text-align:center;">
</td>
<td style="text-align:center;">
</td>
</tr>
<tr>
<td style="text-align:left;">
</td>
<td style="text-align:center;">
[1.001, 2.773]
</td>
<td style="text-align:center;">
[0.578, 1.422]
</td>
<td style="text-align:center;">
[1.057, 2.957]
</td>
<td style="text-align:center;">
[0.603, 1.379]
</td>
<td style="text-align:center;">
</td>
<td style="text-align:center;">
</td>
</tr>
<tr>
<td style="text-align:left;">
Age
</td>
<td style="text-align:center;">
0.986+
</td>
<td style="text-align:center;">
1.014+
</td>
<td style="text-align:center;">
</td>
<td style="text-align:center;">
</td>
<td style="text-align:center;">
</td>
<td style="text-align:center;">
</td>
</tr>
<tr>
<td style="text-align:left;">
</td>
<td style="text-align:center;">
[0.972, 1.001]
</td>
<td style="text-align:center;">
[1.000, 1.028]
</td>
<td style="text-align:center;">
</td>
<td style="text-align:center;">
</td>
<td style="text-align:center;">
</td>
<td style="text-align:center;">
</td>
</tr>
<tr>
<td style="text-align:left;">
Gender (female)
</td>
<td style="text-align:center;">
0.942
</td>
<td style="text-align:center;">
1.010
</td>
<td style="text-align:center;">
</td>
<td style="text-align:center;">
</td>
<td style="text-align:center;">
</td>
<td style="text-align:center;">
</td>
</tr>
<tr>
<td style="text-align:left;">
</td>
<td style="text-align:center;">
[0.520, 1.707]
</td>
<td style="text-align:center;">
[0.589, 1.734]
</td>
<td style="text-align:center;">
</td>
<td style="text-align:center;">
</td>
<td style="text-align:center;">
</td>
<td style="text-align:center;">
</td>
</tr>
<tr>
<td style="text-align:left;">
Education (no High school diploma)
</td>
<td style="text-align:center;">
1.754+
</td>
<td style="text-align:center;">
0.545*
</td>
<td style="text-align:center;">
</td>
<td style="text-align:center;">
</td>
<td style="text-align:center;">
</td>
<td style="text-align:center;">
</td>
</tr>
<tr>
<td style="text-align:left;">
</td>
<td style="text-align:center;">
[0.964, 3.192]
</td>
<td style="text-align:center;">
[0.319, 0.930]
</td>
<td style="text-align:center;">
</td>
<td style="text-align:center;">
</td>
<td style="text-align:center;">
</td>
<td style="text-align:center;">
</td>
</tr>
<tr>
<td style="text-align:left;">
Indiv. financial situation (bad)
</td>
<td style="text-align:center;">
0.819
</td>
<td style="text-align:center;">
0.572
</td>
<td style="text-align:center;">
</td>
<td style="text-align:center;">
</td>
<td style="text-align:center;">
</td>
<td style="text-align:center;">
</td>
</tr>
<tr>
<td style="text-align:left;">
</td>
<td style="text-align:center;">
[0.428, 1.566]
</td>
<td style="text-align:center;">
[0.263, 1.247]
</td>
<td style="text-align:center;">
</td>
<td style="text-align:center;">
</td>
<td style="text-align:center;">
</td>
<td style="text-align:center;">
</td>
</tr>
<tr>
<td style="text-align:left;">
Econ. deprivation
</td>
<td style="text-align:center;">
1.293
</td>
<td style="text-align:center;">
0.956
</td>
<td style="text-align:center;">
</td>
<td style="text-align:center;">
</td>
<td style="text-align:center;">
</td>
<td style="text-align:center;">
</td>
</tr>
<tr>
<td style="text-align:left;">
</td>
<td style="text-align:center;">
[0.690, 2.421]
</td>
<td style="text-align:center;">
[0.536, 1.705]
</td>
<td style="text-align:center;">
</td>
<td style="text-align:center;">
</td>
<td style="text-align:center;">
</td>
<td style="text-align:center;">
</td>
</tr>
<tr>
<td style="text-align:left;">
Status anxiety
</td>
<td style="text-align:center;">
0.704
</td>
<td style="text-align:center;">
0.816
</td>
<td style="text-align:center;">
</td>
<td style="text-align:center;">
</td>
<td style="text-align:center;">
</td>
<td style="text-align:center;">
</td>
</tr>
<tr>
<td style="text-align:left;">
</td>
<td style="text-align:center;">
[0.352, 1.411]
</td>
<td style="text-align:center;">
[0.417, 1.598]
</td>
<td style="text-align:center;">
</td>
<td style="text-align:center;">
</td>
<td style="text-align:center;">
</td>
<td style="text-align:center;">
</td>
</tr>
<tr>
<td style="text-align:left;">
Economic situation Thuringia (bad)
</td>
<td style="text-align:center;">
1.384
</td>
<td style="text-align:center;">
0.967
</td>
<td style="text-align:center;">
</td>
<td style="text-align:center;">
</td>
<td style="text-align:center;">
</td>
<td style="text-align:center;">
</td>
</tr>
<tr>
<td style="text-align:left;box-shadow: 0px 1.5px">
</td>
<td style="text-align:center;box-shadow: 0px 1.5px">
[0.742, 2.581]
</td>
<td style="text-align:center;box-shadow: 0px 1.5px">
[0.523, 1.788]
</td>
<td style="text-align:center;box-shadow: 0px 1.5px">
</td>
<td style="text-align:center;box-shadow: 0px 1.5px">
</td>
<td style="text-align:center;box-shadow: 0px 1.5px">
</td>
<td style="text-align:center;box-shadow: 0px 1.5px">
</td>
</tr>
<tr>
<td style="text-align:left;">
Num.Obs.
</td>
<td style="text-align:center;">
1092
</td>
<td style="text-align:center;">
1092
</td>
<td style="text-align:center;">
1092
</td>
<td style="text-align:center;">
1092
</td>
<td style="text-align:center;">
1092
</td>
<td style="text-align:center;">
1092
</td>
</tr>
</tbody>
<tfoot>
<tr>
<td style="padding: 0; " colspan="100%">
<sup></sup> + p &lt; 0.1, * p &lt; 0.05, ** p &lt; 0.01, *** p &lt;
0.001
</td>
</tr>
</tfoot>
</table>
<p><strong>None of the three alternative operationalizations</strong> of
political grievances <strong>reach</strong> conventional levels of
<strong>statistical significance in the full models</strong>.</p>
<p>However, in models where these three variables are included on their
own, both external efficacy and perceived non-responsiveness of
politicians show a significant association with AfD voting — and in the
expected direction.</p>
<p>This suggests a possible indirect effect, where feelings of low
efficacy and perceived political unresponsiveness contribute to
dissatisfaction with democracy, which in turn may help explain support
for the AfD.</p>
<div id="model-fit-statistics-5" class="section level4">
<h4>Model Fit Statistics</h4>
<p>To view model fit statistics, please set <code>eval = F</code>and
<code>echo = F</code>to <code>TRUE</code> in the markdown file.</p>
</div>
</div>
<div id="different-operationalization-place-based-resentment" class="section level2">
<h2>5 Different Operationalization Place-based Resentment</h2>
<p>This time place-based resentment is operationalized as how
respondents perceive their community has developed over the last 10-15
years.</p>
<pre class="r"><code># select vars we need
tm &lt;- tm_all %&gt;% 
  select(alter, gender, edu_gr, lr, fin_sit, fair_share, status_anx, anti_immigration, anti_feminism, anti_trans, econ_situation_th, second_class, swd_gr, pol_distrust, dev_community, afd, bsw, persgew)

# data w/o NAs
tm &lt;- tm %&gt;% 
  drop_na()

# Surveydesign object
tm_w &lt;- svydesign(id=~1, weights=~persgew, data = tm)

# full models
m_afd &lt;- svyglm(afd~anti_immigration+anti_feminism+anti_trans+second_class+swd_gr+pol_distrust+dev_community+alter+gender+edu_gr+fin_sit+fair_share+status_anx+econ_situation_th,
                family = quasibinomial(link=&quot;logit&quot;),
                design = tm_w)

m_bsw &lt;- svyglm(bsw~anti_immigration+anti_feminism+anti_trans+second_class+swd_gr+pol_distrust+dev_community+alter+gender+edu_gr+fin_sit+fair_share+status_anx+econ_situation_th,
                family = quasibinomial(link=&quot;logit&quot;),
                design = tm_w)

# partial model
# AfD
m1_afd &lt;- svyglm(afd~second_class+swd_gr+pol_distrust+dev_community,
                family = quasibinomial(link=&quot;logit&quot;),
                design = tm_w)

m1_bsw &lt;- svyglm(bsw~second_class+swd_gr+pol_distrust+dev_community,
                family = quasibinomial(link=&quot;logit&quot;),
                design = tm_w)</code></pre>
<pre class="r"><code>modelsummary(
  list(&quot;AfD&quot; = m_afd, &quot;BSW&quot; = m_bsw,
       &quot;AfD&quot; = m1_afd, &quot;BSW&quot; = m1_bsw),
  exponentiate = T, # get OR
  stars = T,
  output = &quot;kableExtra&quot;,
  statistic = &quot;conf.int&quot;,
  gof_omit = &quot;RMSE|R2|Deviance|F|AIC|BIC|Log.Lik&quot;,
  title = &quot;Logistic regression models predicting AfD and BSW vote choice with alternative operationalization of place-based resentment (Odds Ratios)&quot;,
  coef_rename = coef_names
)</code></pre>
<table style="NAborder-bottom: 0; width: auto !important; margin-left: auto; margin-right: auto;" class="table">
<caption>
Logistic regression models predicting AfD and BSW vote choice with
alternative operationalization of place-based resentment (Odds Ratios)
</caption>
<thead>
<tr>
<th style="text-align:left;">
</th>
<th style="text-align:center;">
AfD
</th>
<th style="text-align:center;">
BSW
</th>
<th style="text-align:center;">
AfD
</th>
<th style="text-align:center;">
BSW
</th>
</tr>
</thead>
<tbody>
<tr>
<td style="text-align:left;">
(Intercept)
</td>
<td style="text-align:center;">
0.000***
</td>
<td style="text-align:center;">
0.052***
</td>
<td style="text-align:center;">
0.000***
</td>
<td style="text-align:center;">
0.086***
</td>
</tr>
<tr>
<td style="text-align:left;">
</td>
<td style="text-align:center;">
[0.000, 0.002]
</td>
<td style="text-align:center;">
[0.012, 0.232]
</td>
<td style="text-align:center;">
[0.000, 0.002]
</td>
<td style="text-align:center;">
[0.035, 0.213]
</td>
</tr>
<tr>
<td style="text-align:left;">
Anti-immigrant attitudes
</td>
<td style="text-align:center;">
2.703***
</td>
<td style="text-align:center;">
0.847
</td>
<td style="text-align:center;">
</td>
<td style="text-align:center;">
</td>
</tr>
<tr>
<td style="text-align:left;">
</td>
<td style="text-align:center;">
[1.684, 4.341]
</td>
<td style="text-align:center;">
[0.549, 1.307]
</td>
<td style="text-align:center;">
</td>
<td style="text-align:center;">
</td>
</tr>
<tr>
<td style="text-align:left;">
Anti-feminism
</td>
<td style="text-align:center;">
1.940+
</td>
<td style="text-align:center;">
0.608
</td>
<td style="text-align:center;">
</td>
<td style="text-align:center;">
</td>
</tr>
<tr>
<td style="text-align:left;">
</td>
<td style="text-align:center;">
[0.948, 3.968]
</td>
<td style="text-align:center;">
[0.252, 1.468]
</td>
<td style="text-align:center;">
</td>
<td style="text-align:center;">
</td>
</tr>
<tr>
<td style="text-align:left;">
Anti-trans attitudes
</td>
<td style="text-align:center;">
1.295
</td>
<td style="text-align:center;">
0.871
</td>
<td style="text-align:center;">
</td>
<td style="text-align:center;">
</td>
</tr>
<tr>
<td style="text-align:left;">
</td>
<td style="text-align:center;">
[0.637, 2.635]
</td>
<td style="text-align:center;">
[0.410, 1.848]
</td>
<td style="text-align:center;">
</td>
<td style="text-align:center;">
</td>
</tr>
<tr>
<td style="text-align:left;">
Second class (yes)
</td>
<td style="text-align:center;">
0.744
</td>
<td style="text-align:center;">
1.655
</td>
<td style="text-align:center;">
0.863
</td>
<td style="text-align:center;">
1.252
</td>
</tr>
<tr>
<td style="text-align:left;">
</td>
<td style="text-align:center;">
[0.354, 1.562]
</td>
<td style="text-align:center;">
[0.862, 3.176]
</td>
<td style="text-align:center;">
[0.450, 1.654]
</td>
<td style="text-align:center;">
[0.703, 2.230]
</td>
</tr>
<tr>
<td style="text-align:left;">
Dissatisf. with democracy
</td>
<td style="text-align:center;">
4.332**
</td>
<td style="text-align:center;">
2.336*
</td>
<td style="text-align:center;">
4.964***
</td>
<td style="text-align:center;">
1.968+
</td>
</tr>
<tr>
<td style="text-align:left;">
</td>
<td style="text-align:center;">
[1.796, 10.449]
</td>
<td style="text-align:center;">
[1.180, 4.623]
</td>
<td style="text-align:center;">
[1.927, 12.786]
</td>
<td style="text-align:center;">
[0.971, 3.989]
</td>
</tr>
<tr>
<td style="text-align:left;">
Distrust
</td>
<td style="text-align:center;">
2.933***
</td>
<td style="text-align:center;">
1.095
</td>
<td style="text-align:center;">
4.161***
</td>
<td style="text-align:center;">
0.927
</td>
</tr>
<tr>
<td style="text-align:left;">
</td>
<td style="text-align:center;">
[1.857, 4.633]
</td>
<td style="text-align:center;">
[0.789, 1.521]
</td>
<td style="text-align:center;">
[2.602, 6.654]
</td>
<td style="text-align:center;">
[0.700, 1.227]
</td>
</tr>
<tr>
<td style="text-align:left;">
Development of community
</td>
<td style="text-align:center;">
0.894
</td>
<td style="text-align:center;">
1.169
</td>
<td style="text-align:center;">
1.054
</td>
<td style="text-align:center;">
1.102
</td>
</tr>
<tr>
<td style="text-align:left;">
</td>
<td style="text-align:center;">
[0.685, 1.167]
</td>
<td style="text-align:center;">
[0.894, 1.528]
</td>
<td style="text-align:center;">
[0.824, 1.348]
</td>
<td style="text-align:center;">
[0.849, 1.431]
</td>
</tr>
<tr>
<td style="text-align:left;">
Age
</td>
<td style="text-align:center;">
0.983*
</td>
<td style="text-align:center;">
1.012
</td>
<td style="text-align:center;">
</td>
<td style="text-align:center;">
</td>
</tr>
<tr>
<td style="text-align:left;">
</td>
<td style="text-align:center;">
[0.967, 0.999]
</td>
<td style="text-align:center;">
[0.997, 1.027]
</td>
<td style="text-align:center;">
</td>
<td style="text-align:center;">
</td>
</tr>
<tr>
<td style="text-align:left;">
Gender (female)
</td>
<td style="text-align:center;">
0.882
</td>
<td style="text-align:center;">
0.926
</td>
<td style="text-align:center;">
</td>
<td style="text-align:center;">
</td>
</tr>
<tr>
<td style="text-align:left;">
</td>
<td style="text-align:center;">
[0.458, 1.699]
</td>
<td style="text-align:center;">
[0.530, 1.616]
</td>
<td style="text-align:center;">
</td>
<td style="text-align:center;">
</td>
</tr>
<tr>
<td style="text-align:left;">
Education (no High school diploma)
</td>
<td style="text-align:center;">
1.711
</td>
<td style="text-align:center;">
0.554*
</td>
<td style="text-align:center;">
</td>
<td style="text-align:center;">
</td>
</tr>
<tr>
<td style="text-align:left;">
</td>
<td style="text-align:center;">
[0.861, 3.401]
</td>
<td style="text-align:center;">
[0.322, 0.953]
</td>
<td style="text-align:center;">
</td>
<td style="text-align:center;">
</td>
</tr>
<tr>
<td style="text-align:left;">
Indiv. financial situation (bad)
</td>
<td style="text-align:center;">
0.769
</td>
<td style="text-align:center;">
0.573
</td>
<td style="text-align:center;">
</td>
<td style="text-align:center;">
</td>
</tr>
<tr>
<td style="text-align:left;">
</td>
<td style="text-align:center;">
[0.380, 1.557]
</td>
<td style="text-align:center;">
[0.277, 1.188]
</td>
<td style="text-align:center;">
</td>
<td style="text-align:center;">
</td>
</tr>
<tr>
<td style="text-align:left;">
Econ. deprivation
</td>
<td style="text-align:center;">
1.317
</td>
<td style="text-align:center;">
0.966
</td>
<td style="text-align:center;">
</td>
<td style="text-align:center;">
</td>
</tr>
<tr>
<td style="text-align:left;">
</td>
<td style="text-align:center;">
[0.658, 2.635]
</td>
<td style="text-align:center;">
[0.535, 1.747]
</td>
<td style="text-align:center;">
</td>
<td style="text-align:center;">
</td>
</tr>
<tr>
<td style="text-align:left;">
Status anxiety
</td>
<td style="text-align:center;">
0.715
</td>
<td style="text-align:center;">
0.833
</td>
<td style="text-align:center;">
</td>
<td style="text-align:center;">
</td>
</tr>
<tr>
<td style="text-align:left;">
</td>
<td style="text-align:center;">
[0.340, 1.506]
</td>
<td style="text-align:center;">
[0.428, 1.621]
</td>
<td style="text-align:center;">
</td>
<td style="text-align:center;">
</td>
</tr>
<tr>
<td style="text-align:left;">
Economic situation Thuringia (bad)
</td>
<td style="text-align:center;">
1.728
</td>
<td style="text-align:center;">
1.067
</td>
<td style="text-align:center;">
</td>
<td style="text-align:center;">
</td>
</tr>
<tr>
<td style="text-align:left;box-shadow: 0px 1.5px">
</td>
<td style="text-align:center;box-shadow: 0px 1.5px">
[0.868, 3.440]
</td>
<td style="text-align:center;box-shadow: 0px 1.5px">
[0.568, 2.005]
</td>
<td style="text-align:center;box-shadow: 0px 1.5px">
</td>
<td style="text-align:center;box-shadow: 0px 1.5px">
</td>
</tr>
<tr>
<td style="text-align:left;">
Num.Obs.
</td>
<td style="text-align:center;">
925
</td>
<td style="text-align:center;">
925
</td>
<td style="text-align:center;">
925
</td>
<td style="text-align:center;">
925
</td>
</tr>
</tbody>
<tfoot>
<tr>
<td style="padding: 0; " colspan="100%">
<sup></sup> + p &lt; 0.1, * p &lt; 0.05, ** p &lt; 0.01, *** p &lt;
0.001
</td>
</tr>
</tfoot>
</table>
<p>The alternative measure of place-based resentment is not
significantly associated with vote choice - neither for BSW nor for the
AfD.</p>
<div id="model-fit-statistics-6" class="section level4">
<h4>Model Fit Statistics</h4>
<p>To view model fit statistics, please set <code>eval = F</code>and
<code>echo = F</code>to <code>TRUE</code> in the markdown file.</p>
</div>
</div>
<div id="additional-variables-measuring-losers-of-modernization-thesis" class="section level2">
<h2>6 Additional Variables Measuring Losers of Modernization Thesis</h2>
<p>Next to the characteristics we already use (economic deprivation,
status anxiety, education) we now add unemployment and manual occupation
to make the set of loser of modernization indicators complete.</p>
<pre class="r"><code># select vars we need
tm &lt;- tm_all %&gt;% 
  select(alter, gender, edu_gr, unemployed, manual_worker, fin_sit, fair_share, status_anx, anti_immigration, anti_feminism, anti_trans, econ_situation_th, second_class, swd_gr, pol_distrust, RR, afd, bsw, persgew)

# data w/o NAs (then all models have same cases)
tm &lt;- tm %&gt;% 
  drop_na()

# Surveydesign object
tm_w &lt;- svydesign(id=~1, weights=~persgew, data = tm)

# full models
m_afd &lt;- svyglm(afd~anti_immigration+anti_feminism+anti_trans+second_class+swd_gr+pol_distrust+RR+alter+gender+edu_gr+fin_sit+unemployed+manual_worker+fair_share+status_anx+econ_situation_th,
                family = quasibinomial(link=&quot;logit&quot;),
                design = tm_w)

m_bsw &lt;- svyglm(bsw~anti_immigration+anti_feminism+anti_trans+second_class+swd_gr+pol_distrust+RR+alter+gender+edu_gr+fin_sit+unemployed+manual_worker+fair_share+status_anx+econ_situation_th,
                family = quasibinomial(link=&quot;logit&quot;),
                design = tm_w)

# partial models (economy / losers of modernization only)
m1_afd &lt;- svyglm(afd~edu_gr+fin_sit+unemployed+manual_worker+fair_share+status_anx+econ_situation_th,
                family = quasibinomial(link=&quot;logit&quot;),
                design = tm_w)

m1_bsw &lt;- svyglm(bsw~edu_gr+fin_sit+unemployed+manual_worker+fair_share+status_anx+econ_situation_th,
                family = quasibinomial(link=&quot;logit&quot;),
                design = tm_w)</code></pre>
<pre class="r"><code>modelsummary(
  list(&quot;AfD&quot; = m_afd, &quot;BSW&quot; = m_bsw,
       &quot;AfD&quot; = m1_afd, &quot;BSW&quot; = m1_bsw),
  exponentiate = T, # get OR
  stars = T,
  output = &quot;kableExtra&quot;,
  statistic = &quot;conf.int&quot;,
  gof_omit = &quot;RMSE|R2|Deviance|F|AIC|BIC|Log.Lik&quot;,
  title = &quot;Logistic regression models predicting AfD and BSW vote choice with additional operationalization of the losers of modernization (Odds Ratios)&quot;,
  coef_rename = coef_names
)</code></pre>
<table style="NAborder-bottom: 0; width: auto !important; margin-left: auto; margin-right: auto;" class="table">
<caption>
Logistic regression models predicting AfD and BSW vote choice with
additional operationalization of the losers of modernization (Odds
Ratios)
</caption>
<thead>
<tr>
<th style="text-align:left;">
</th>
<th style="text-align:center;">
AfD
</th>
<th style="text-align:center;">
BSW
</th>
<th style="text-align:center;">
AfD
</th>
<th style="text-align:center;">
BSW
</th>
</tr>
</thead>
<tbody>
<tr>
<td style="text-align:left;">
(Intercept)
</td>
<td style="text-align:center;">
0.000***
</td>
<td style="text-align:center;">
0.054***
</td>
<td style="text-align:center;">
0.035***
</td>
<td style="text-align:center;">
0.172***
</td>
</tr>
<tr>
<td style="text-align:left;">
</td>
<td style="text-align:center;">
[0.000, 0.001]
</td>
<td style="text-align:center;">
[0.013, 0.226]
</td>
<td style="text-align:center;">
[0.020, 0.061]
</td>
<td style="text-align:center;">
[0.115, 0.255]
</td>
</tr>
<tr>
<td style="text-align:left;">
Anti-immigrant attitudes
</td>
<td style="text-align:center;">
2.885***
</td>
<td style="text-align:center;">
0.869
</td>
<td style="text-align:center;">
</td>
<td style="text-align:center;">
</td>
</tr>
<tr>
<td style="text-align:left;">
</td>
<td style="text-align:center;">
[1.862, 4.470]
</td>
<td style="text-align:center;">
[0.568, 1.330]
</td>
<td style="text-align:center;">
</td>
<td style="text-align:center;">
</td>
</tr>
<tr>
<td style="text-align:left;">
Anti-feminism
</td>
<td style="text-align:center;">
1.761+
</td>
<td style="text-align:center;">
0.577
</td>
<td style="text-align:center;">
</td>
<td style="text-align:center;">
</td>
</tr>
<tr>
<td style="text-align:left;">
</td>
<td style="text-align:center;">
[0.938, 3.305]
</td>
<td style="text-align:center;">
[0.256, 1.301]
</td>
<td style="text-align:center;">
</td>
<td style="text-align:center;">
</td>
</tr>
<tr>
<td style="text-align:left;">
Anti-trans attitudes
</td>
<td style="text-align:center;">
1.147
</td>
<td style="text-align:center;">
0.870
</td>
<td style="text-align:center;">
</td>
<td style="text-align:center;">
</td>
</tr>
<tr>
<td style="text-align:left;">
</td>
<td style="text-align:center;">
[0.599, 2.198]
</td>
<td style="text-align:center;">
[0.430, 1.762]
</td>
<td style="text-align:center;">
</td>
<td style="text-align:center;">
</td>
</tr>
<tr>
<td style="text-align:left;">
Second class (yes)
</td>
<td style="text-align:center;">
0.636
</td>
<td style="text-align:center;">
1.575
</td>
<td style="text-align:center;">
</td>
<td style="text-align:center;">
</td>
</tr>
<tr>
<td style="text-align:left;">
</td>
<td style="text-align:center;">
[0.320, 1.264]
</td>
<td style="text-align:center;">
[0.841, 2.950]
</td>
<td style="text-align:center;">
</td>
<td style="text-align:center;">
</td>
</tr>
<tr>
<td style="text-align:left;">
Dissatisf. with democracy
</td>
<td style="text-align:center;">
5.208***
</td>
<td style="text-align:center;">
2.544**
</td>
<td style="text-align:center;">
</td>
<td style="text-align:center;">
</td>
</tr>
<tr>
<td style="text-align:left;">
</td>
<td style="text-align:center;">
[1.989, 13.637]
</td>
<td style="text-align:center;">
[1.344, 4.817]
</td>
<td style="text-align:center;">
</td>
<td style="text-align:center;">
</td>
</tr>
<tr>
<td style="text-align:left;">
Distrust
</td>
<td style="text-align:center;">
2.290***
</td>
<td style="text-align:center;">
1.135
</td>
<td style="text-align:center;">
</td>
<td style="text-align:center;">
</td>
</tr>
<tr>
<td style="text-align:left;">
</td>
<td style="text-align:center;">
[1.515, 3.463]
</td>
<td style="text-align:center;">
[0.824, 1.564]
</td>
<td style="text-align:center;">
</td>
<td style="text-align:center;">
</td>
</tr>
<tr>
<td style="text-align:left;">
Place-based resentment
</td>
<td style="text-align:center;">
1.902*
</td>
<td style="text-align:center;">
0.907
</td>
<td style="text-align:center;">
</td>
<td style="text-align:center;">
</td>
</tr>
<tr>
<td style="text-align:left;">
</td>
<td style="text-align:center;">
[1.154, 3.136]
</td>
<td style="text-align:center;">
[0.583, 1.410]
</td>
<td style="text-align:center;">
</td>
<td style="text-align:center;">
</td>
</tr>
<tr>
<td style="text-align:left;">
Age
</td>
<td style="text-align:center;">
0.984*
</td>
<td style="text-align:center;">
1.017*
</td>
<td style="text-align:center;">
</td>
<td style="text-align:center;">
</td>
</tr>
<tr>
<td style="text-align:left;">
</td>
<td style="text-align:center;">
[0.969, 0.998]
</td>
<td style="text-align:center;">
[1.002, 1.033]
</td>
<td style="text-align:center;">
</td>
<td style="text-align:center;">
</td>
</tr>
<tr>
<td style="text-align:left;">
Gender (female)
</td>
<td style="text-align:center;">
0.853
</td>
<td style="text-align:center;">
1.095
</td>
<td style="text-align:center;">
</td>
<td style="text-align:center;">
</td>
</tr>
<tr>
<td style="text-align:left;">
</td>
<td style="text-align:center;">
[0.457, 1.590]
</td>
<td style="text-align:center;">
[0.655, 1.831]
</td>
<td style="text-align:center;">
</td>
<td style="text-align:center;">
</td>
</tr>
<tr>
<td style="text-align:left;">
Education (no High school diploma)
</td>
<td style="text-align:center;">
1.759+
</td>
<td style="text-align:center;">
0.515*
</td>
<td style="text-align:center;">
2.441***
</td>
<td style="text-align:center;">
0.646+
</td>
</tr>
<tr>
<td style="text-align:left;">
</td>
<td style="text-align:center;">
[0.956, 3.237]
</td>
<td style="text-align:center;">
[0.308, 0.860]
</td>
<td style="text-align:center;">
[1.489, 4.004]
</td>
<td style="text-align:center;">
[0.404, 1.035]
</td>
</tr>
<tr>
<td style="text-align:left;">
Indiv. financial situation (bad)
</td>
<td style="text-align:center;">
0.920
</td>
<td style="text-align:center;">
0.541
</td>
<td style="text-align:center;">
0.980
</td>
<td style="text-align:center;">
0.605
</td>
</tr>
<tr>
<td style="text-align:left;">
</td>
<td style="text-align:center;">
[0.480, 1.761]
</td>
<td style="text-align:center;">
[0.258, 1.134]
</td>
<td style="text-align:center;">
[0.567, 1.694]
</td>
<td style="text-align:center;">
[0.310, 1.178]
</td>
</tr>
<tr>
<td style="text-align:left;">
Unemployment
</td>
<td style="text-align:center;">
0.826
</td>
<td style="text-align:center;">
5.470*
</td>
<td style="text-align:center;">
1.352
</td>
<td style="text-align:center;">
3.251
</td>
</tr>
<tr>
<td style="text-align:left;">
</td>
<td style="text-align:center;">
[0.139, 4.900]
</td>
<td style="text-align:center;">
[1.365, 21.920]
</td>
<td style="text-align:center;">
[0.481, 3.798]
</td>
<td style="text-align:center;">
[0.785, 13.468]
</td>
</tr>
<tr>
<td style="text-align:left;">
Manual worker
</td>
<td style="text-align:center;">
1.082
</td>
<td style="text-align:center;">
1.723
</td>
<td style="text-align:center;">
1.807+
</td>
<td style="text-align:center;">
1.272
</td>
</tr>
<tr>
<td style="text-align:left;">
</td>
<td style="text-align:center;">
[0.468, 2.502]
</td>
<td style="text-align:center;">
[0.734, 4.044]
</td>
<td style="text-align:center;">
[0.977, 3.343]
</td>
<td style="text-align:center;">
[0.610, 2.655]
</td>
</tr>
<tr>
<td style="text-align:left;">
Econ. deprivation
</td>
<td style="text-align:center;">
0.989
</td>
<td style="text-align:center;">
1.052
</td>
<td style="text-align:center;">
1.359
</td>
<td style="text-align:center;">
1.227
</td>
</tr>
<tr>
<td style="text-align:left;">
</td>
<td style="text-align:center;">
[0.530, 1.846]
</td>
<td style="text-align:center;">
[0.612, 1.806]
</td>
<td style="text-align:center;">
[0.789, 2.341]
</td>
<td style="text-align:center;">
[0.713, 2.112]
</td>
</tr>
<tr>
<td style="text-align:left;">
Status anxiety
</td>
<td style="text-align:center;">
0.736
</td>
<td style="text-align:center;">
0.798
</td>
<td style="text-align:center;">
1.774*
</td>
<td style="text-align:center;">
1.040
</td>
</tr>
<tr>
<td style="text-align:left;">
</td>
<td style="text-align:center;">
[0.373, 1.452]
</td>
<td style="text-align:center;">
[0.423, 1.505]
</td>
<td style="text-align:center;">
[1.055, 2.981]
</td>
<td style="text-align:center;">
[0.598, 1.810]
</td>
</tr>
<tr>
<td style="text-align:left;">
Economic situation Thuringia (bad)
</td>
<td style="text-align:center;">
1.698+
</td>
<td style="text-align:center;">
1.047
</td>
<td style="text-align:center;">
3.166***
</td>
<td style="text-align:center;">
1.135
</td>
</tr>
<tr>
<td style="text-align:left;box-shadow: 0px 1.5px">
</td>
<td style="text-align:center;box-shadow: 0px 1.5px">
[0.912, 3.163]
</td>
<td style="text-align:center;box-shadow: 0px 1.5px">
[0.589, 1.862]
</td>
<td style="text-align:center;box-shadow: 0px 1.5px">
[1.805, 5.554]
</td>
<td style="text-align:center;box-shadow: 0px 1.5px">
[0.670, 1.925]
</td>
</tr>
<tr>
<td style="text-align:left;">
Num.Obs.
</td>
<td style="text-align:center;">
1160
</td>
<td style="text-align:center;">
1160
</td>
<td style="text-align:center;">
1160
</td>
<td style="text-align:center;">
1160
</td>
</tr>
</tbody>
<tfoot>
<tr>
<td style="padding: 0; " colspan="100%">
<sup></sup> + p &lt; 0.1, * p &lt; 0.05, ** p &lt; 0.01, *** p &lt;
0.001
</td>
</tr>
</tfoot>
</table>
<p>Adding unemployment and occupation as manual worker to our model does
not alter the picture we find for AfD vote choice, both predictors
(unemployment, manual worker) are insignificant in the AfD model. In
contrast, in the BSW model, unemployment emerges as highly significant
and positively associated with voting for BSW. Interestingly, the
findings for BSW appear contradictory with regard to the losers of
modernization thesis: low education is negatively associated with BSW
vote-choice, unemployment positively.</p>
<div id="model-fit-statistics-7" class="section level4">
<h4>Model Fit Statistics</h4>
<p>To view model fit statistics, please set <code>eval = F</code>and
<code>echo = F</code>to <code>TRUE</code> in the markdown file.</p>
</div>
</div>
<div id="unweighted-data-full-model" class="section level2">
<h2>7 Unweighted Data (full model)</h2>
<pre class="r"><code># select the same vars as in main model
tm &lt;- tm_all %&gt;% 
  select(alter, gender, edu_gr, lr, fin_sit, fair_share, status_anx, anti_immigration, anti_feminism, anti_trans, econ_situation_th, second_class, gdr, swd_gr, pol_distrust, RR, afd, bsw, persgew)

# data w/o NAs
tm &lt;- tm %&gt;% 
  drop_na()

# Regression models
m_afd &lt;- glm(afd~anti_immigration+anti_feminism+anti_trans+second_class+gdr+swd_gr+pol_distrust+RR+alter+gender+edu_gr+fin_sit+fair_share+status_anx+econ_situation_th,
             family = binomial(link=&quot;logit&quot;),
             data=tm)

m_bsw &lt;- glm(bsw~anti_immigration+anti_feminism+anti_trans+second_class+gdr+swd_gr+pol_distrust+RR+alter+gender+edu_gr+fin_sit+fair_share+status_anx+econ_situation_th,
             family = binomial(link=&quot;logit&quot;),
             data=tm)</code></pre>
<pre class="r"><code>modelsummary(
  list(&quot;AfD&quot; = m_afd, &quot;BSW&quot; = m_bsw),
  exponentiate = T, # get OR
  stars = T,
  output = &quot;kableExtra&quot;,
  statistic = &quot;conf.int&quot;,
  gof_omit = &quot;RMSE|R2|Deviance|F&quot;,
  title = &quot;Table: Full logistic regression models predicting AfD and BSW vote choice, unweighted data (Odds Ratios)&quot;,
  coef_rename = coef_names
)</code></pre>
<table style="NAborder-bottom: 0; width: auto !important; margin-left: auto; margin-right: auto;" class="table">
<caption>
Table: Full logistic regression models predicting AfD and BSW vote
choice, unweighted data (Odds Ratios)
</caption>
<thead>
<tr>
<th style="text-align:left;">
</th>
<th style="text-align:center;">
AfD
</th>
<th style="text-align:center;">
BSW
</th>
</tr>
</thead>
<tbody>
<tr>
<td style="text-align:left;">
(Intercept)
</td>
<td style="text-align:center;">
0.000***
</td>
<td style="text-align:center;">
0.007***
</td>
</tr>
<tr>
<td style="text-align:left;">
</td>
<td style="text-align:center;">
[0.000, 0.000]
</td>
<td style="text-align:center;">
[0.002, 0.022]
</td>
</tr>
<tr>
<td style="text-align:left;">
Anti-immigrant attitudes
</td>
<td style="text-align:center;">
2.760***
</td>
<td style="text-align:center;">
0.910
</td>
</tr>
<tr>
<td style="text-align:left;">
</td>
<td style="text-align:center;">
[1.892, 4.101]
</td>
<td style="text-align:center;">
[0.652, 1.270]
</td>
</tr>
<tr>
<td style="text-align:left;">
Anti-feminism
</td>
<td style="text-align:center;">
1.387
</td>
<td style="text-align:center;">
0.615
</td>
</tr>
<tr>
<td style="text-align:left;">
</td>
<td style="text-align:center;">
[0.804, 2.372]
</td>
<td style="text-align:center;">
[0.321, 1.120]
</td>
</tr>
<tr>
<td style="text-align:left;">
Anti-trans attitudes
</td>
<td style="text-align:center;">
1.627+
</td>
<td style="text-align:center;">
0.586+
</td>
</tr>
<tr>
<td style="text-align:left;">
</td>
<td style="text-align:center;">
[0.981, 2.691]
</td>
<td style="text-align:center;">
[0.323, 1.032]
</td>
</tr>
<tr>
<td style="text-align:left;">
Second class (yes)
</td>
<td style="text-align:center;">
0.720
</td>
<td style="text-align:center;">
1.514+
</td>
</tr>
<tr>
<td style="text-align:left;">
</td>
<td style="text-align:center;">
[0.418, 1.229]
</td>
<td style="text-align:center;">
[0.949, 2.420]
</td>
</tr>
<tr>
<td style="text-align:left;">
GDR nostalgia
</td>
<td style="text-align:center;">
1.482
</td>
<td style="text-align:center;">
1.928**
</td>
</tr>
<tr>
<td style="text-align:left;">
</td>
<td style="text-align:center;">
[0.892, 2.460]
</td>
<td style="text-align:center;">
[1.203, 3.090]
</td>
</tr>
<tr>
<td style="text-align:left;">
Dissatisf. with democracy
</td>
<td style="text-align:center;">
4.368***
</td>
<td style="text-align:center;">
2.002**
</td>
</tr>
<tr>
<td style="text-align:left;">
</td>
<td style="text-align:center;">
[2.149, 9.583]
</td>
<td style="text-align:center;">
[1.199, 3.374]
</td>
</tr>
<tr>
<td style="text-align:left;">
Distrust
</td>
<td style="text-align:center;">
2.359***
</td>
<td style="text-align:center;">
1.368*
</td>
</tr>
<tr>
<td style="text-align:left;">
</td>
<td style="text-align:center;">
[1.677, 3.369]
</td>
<td style="text-align:center;">
[1.024, 1.836]
</td>
</tr>
<tr>
<td style="text-align:left;">
Place-based resentment
</td>
<td style="text-align:center;">
1.586*
</td>
<td style="text-align:center;">
1.222
</td>
</tr>
<tr>
<td style="text-align:left;">
</td>
<td style="text-align:center;">
[1.026, 2.486]
</td>
<td style="text-align:center;">
[0.852, 1.778]
</td>
</tr>
<tr>
<td style="text-align:left;">
Age
</td>
<td style="text-align:center;">
0.989+
</td>
<td style="text-align:center;">
1.025***
</td>
</tr>
<tr>
<td style="text-align:left;">
</td>
<td style="text-align:center;">
[0.975, 1.002]
</td>
<td style="text-align:center;">
[1.013, 1.038]
</td>
</tr>
<tr>
<td style="text-align:left;">
Gender (female)
</td>
<td style="text-align:center;">
0.877
</td>
<td style="text-align:center;">
0.947
</td>
</tr>
<tr>
<td style="text-align:left;">
</td>
<td style="text-align:center;">
[0.536, 1.432]
</td>
<td style="text-align:center;">
[0.620, 1.446]
</td>
</tr>
<tr>
<td style="text-align:left;">
Education (no High school diploma)
</td>
<td style="text-align:center;">
1.330
</td>
<td style="text-align:center;">
0.565*
</td>
</tr>
<tr>
<td style="text-align:left;">
</td>
<td style="text-align:center;">
[0.813, 2.181]
</td>
<td style="text-align:center;">
[0.358, 0.883]
</td>
</tr>
<tr>
<td style="text-align:left;">
Indiv. financial situation (bad)
</td>
<td style="text-align:center;">
1.323
</td>
<td style="text-align:center;">
1.173
</td>
</tr>
<tr>
<td style="text-align:left;">
</td>
<td style="text-align:center;">
[0.741, 2.353]
</td>
<td style="text-align:center;">
[0.658, 2.057]
</td>
</tr>
<tr>
<td style="text-align:left;">
Econ. deprivation
</td>
<td style="text-align:center;">
0.722
</td>
<td style="text-align:center;">
1.044
</td>
</tr>
<tr>
<td style="text-align:left;">
</td>
<td style="text-align:center;">
[0.429, 1.210]
</td>
<td style="text-align:center;">
[0.654, 1.663]
</td>
</tr>
<tr>
<td style="text-align:left;">
Status anxiety
</td>
<td style="text-align:center;">
0.639
</td>
<td style="text-align:center;">
0.687
</td>
</tr>
<tr>
<td style="text-align:left;">
</td>
<td style="text-align:center;">
[0.371, 1.090]
</td>
<td style="text-align:center;">
[0.411, 1.136]
</td>
</tr>
<tr>
<td style="text-align:left;">
Economic situation Thuringia (bad)
</td>
<td style="text-align:center;">
1.451
</td>
<td style="text-align:center;">
1.087
</td>
</tr>
<tr>
<td style="text-align:left;box-shadow: 0px 1.5px">
</td>
<td style="text-align:center;box-shadow: 0px 1.5px">
[0.885, 2.393]
</td>
<td style="text-align:center;box-shadow: 0px 1.5px">
[0.698, 1.693]
</td>
</tr>
<tr>
<td style="text-align:left;">
Num.Obs.
</td>
<td style="text-align:center;">
975
</td>
<td style="text-align:center;">
975
</td>
</tr>
<tr>
<td style="text-align:left;">
AIC
</td>
<td style="text-align:center;">
511.8
</td>
<td style="text-align:center;">
668.9
</td>
</tr>
<tr>
<td style="text-align:left;">
BIC
</td>
<td style="text-align:center;">
590.0
</td>
<td style="text-align:center;">
747.0
</td>
</tr>
<tr>
<td style="text-align:left;">
Log.Lik.
</td>
<td style="text-align:center;">
−239.920
</td>
<td style="text-align:center;">
−318.452
</td>
</tr>
</tbody>
<tfoot>
<tr>
<td style="padding: 0; " colspan="100%">
<sup></sup> + p &lt; 0.1, * p &lt; 0.05, ** p &lt; 0.01, *** p &lt;
0.001
</td>
</tr>
</tfoot>
</table>
<p>Using unweighted data produces some shifts in significance, though
the general picture stays the same. For <strong>AfD</strong>, anti-trans
views become significant and <em>positive</em>—though only at the 90%
level, while our controls age and education lose significance (age drops
to 90% level). For <strong>BSW</strong>, political distrust now shows a
significant association. Anti-trans views are <em>negatively</em>
correlated—though also only at the 90% level. Similarly, collective
deprivation becomes positively associated, though only at the 90%
level.</p>
<p>To view model fit statistics, please set <code>eval = F</code>and
<code>echo = F</code>to <code>TRUE</code> in the markdown file.</p>
<div id="a-unweighted-data-socio-demographic-controls-only" class="section level3">
<h3>7a Unweighted data (socio-demographic controls only)</h3>
<pre class="r"><code># select vars we need
tm &lt;- tm_all %&gt;% 
  select(alter, gender, edu_gr, unemployed, manual_worker, fin_sit, fair_share, anti_immigration, anti_feminism, anti_trans, afd, bsw, persgew)

# data w/o NAs
tm &lt;- tm %&gt;% 
  drop_na()

# MODELS
m_afd &lt;- glm(afd~anti_immigration+anti_feminism+anti_trans+alter+gender+edu_gr+fin_sit+unemployed+manual_worker+fair_share,
             family = binomial(link=&quot;logit&quot;),
             data=tm)

m_bsw &lt;- glm(bsw~anti_immigration+anti_feminism+anti_trans+alter+gender+edu_gr+fin_sit+unemployed+manual_worker+fair_share,
             family = binomial(link=&quot;logit&quot;),
             data=tm)</code></pre>
<pre class="r"><code>modelsummary(
  list(&quot;AfD&quot; = m_afd, &quot;BSW&quot; = m_bsw),
  exponentiate = T, # get OR
  stars = T,
  output = &quot;kableExtra&quot;,
  statistic = &quot;conf.int&quot;,
  gof_omit = &quot;RMSE|R2|Deviance|F&quot;,
  title = &quot;Table: Logistic regression models with socio-demographic controls predicting AfD and BSW vote choice, unweighted data (Odds Ratios)&quot;,
  coef_rename = coef_names
)</code></pre>
<table style="NAborder-bottom: 0; width: auto !important; margin-left: auto; margin-right: auto;" class="table">
<caption>
Table: Logistic regression models with socio-demographic controls
predicting AfD and BSW vote choice, unweighted data (Odds Ratios)
</caption>
<thead>
<tr>
<th style="text-align:left;">
</th>
<th style="text-align:center;">
AfD
</th>
<th style="text-align:center;">
BSW
</th>
</tr>
</thead>
<tbody>
<tr>
<td style="text-align:left;">
(Intercept)
</td>
<td style="text-align:center;">
0.002***
</td>
<td style="text-align:center;">
0.019***
</td>
</tr>
<tr>
<td style="text-align:left;">
</td>
<td style="text-align:center;">
[0.001, 0.005]
</td>
<td style="text-align:center;">
[0.009, 0.037]
</td>
</tr>
<tr>
<td style="text-align:left;">
Anti-immigrant attitudes
</td>
<td style="text-align:center;">
4.881***
</td>
<td style="text-align:center;">
1.488**
</td>
</tr>
<tr>
<td style="text-align:left;">
</td>
<td style="text-align:center;">
[3.626, 6.676]
</td>
<td style="text-align:center;">
[1.168, 1.899]
</td>
</tr>
<tr>
<td style="text-align:left;">
Anti-feminism
</td>
<td style="text-align:center;">
1.911**
</td>
<td style="text-align:center;">
0.608+
</td>
</tr>
<tr>
<td style="text-align:left;">
</td>
<td style="text-align:center;">
[1.233, 2.941]
</td>
<td style="text-align:center;">
[0.348, 1.018]
</td>
</tr>
<tr>
<td style="text-align:left;">
Anti-trans attitudes
</td>
<td style="text-align:center;">
1.821**
</td>
<td style="text-align:center;">
0.750
</td>
</tr>
<tr>
<td style="text-align:left;">
</td>
<td style="text-align:center;">
[1.195, 2.763]
</td>
<td style="text-align:center;">
[0.461, 1.195]
</td>
</tr>
<tr>
<td style="text-align:left;">
Age
</td>
<td style="text-align:center;">
0.990+
</td>
<td style="text-align:center;">
1.022***
</td>
</tr>
<tr>
<td style="text-align:left;">
</td>
<td style="text-align:center;">
[0.979, 1.001]
</td>
<td style="text-align:center;">
[1.012, 1.032]
</td>
</tr>
<tr>
<td style="text-align:left;">
Gender (female)
</td>
<td style="text-align:center;">
0.922
</td>
<td style="text-align:center;">
1.073
</td>
</tr>
<tr>
<td style="text-align:left;">
</td>
<td style="text-align:center;">
[0.621, 1.368]
</td>
<td style="text-align:center;">
[0.765, 1.508]
</td>
</tr>
<tr>
<td style="text-align:left;">
Education (no High school diploma)
</td>
<td style="text-align:center;">
1.891**
</td>
<td style="text-align:center;">
0.764
</td>
</tr>
<tr>
<td style="text-align:left;">
</td>
<td style="text-align:center;">
[1.262, 2.849]
</td>
<td style="text-align:center;">
[0.528, 1.101]
</td>
</tr>
<tr>
<td style="text-align:left;">
Indiv. financial situation (bad)
</td>
<td style="text-align:center;">
1.351
</td>
<td style="text-align:center;">
1.089
</td>
</tr>
<tr>
<td style="text-align:left;">
</td>
<td style="text-align:center;">
[0.858, 2.112]
</td>
<td style="text-align:center;">
[0.700, 1.670]
</td>
</tr>
<tr>
<td style="text-align:left;">
Unemployment
</td>
<td style="text-align:center;">
0.865
</td>
<td style="text-align:center;">
2.377+
</td>
</tr>
<tr>
<td style="text-align:left;">
</td>
<td style="text-align:center;">
[0.228, 2.953]
</td>
<td style="text-align:center;">
[0.832, 5.900]
</td>
</tr>
<tr>
<td style="text-align:left;">
Manual worker
</td>
<td style="text-align:center;">
1.287
</td>
<td style="text-align:center;">
1.585+
</td>
</tr>
<tr>
<td style="text-align:left;">
</td>
<td style="text-align:center;">
[0.770, 2.125]
</td>
<td style="text-align:center;">
[0.945, 2.584]
</td>
</tr>
<tr>
<td style="text-align:left;">
Econ. deprivation
</td>
<td style="text-align:center;">
0.969
</td>
<td style="text-align:center;">
1.384+
</td>
</tr>
<tr>
<td style="text-align:left;box-shadow: 0px 1.5px">
</td>
<td style="text-align:center;box-shadow: 0px 1.5px">
[0.643, 1.457]
</td>
<td style="text-align:center;box-shadow: 0px 1.5px">
[0.967, 1.980]
</td>
</tr>
<tr>
<td style="text-align:left;">
Num.Obs.
</td>
<td style="text-align:center;">
1363
</td>
<td style="text-align:center;">
1363
</td>
</tr>
<tr>
<td style="text-align:left;">
AIC
</td>
<td style="text-align:center;">
773.5
</td>
<td style="text-align:center;">
1005.5
</td>
</tr>
<tr>
<td style="text-align:left;">
BIC
</td>
<td style="text-align:center;">
830.9
</td>
<td style="text-align:center;">
1062.9
</td>
</tr>
<tr>
<td style="text-align:left;">
Log.Lik.
</td>
<td style="text-align:center;">
−375.769
</td>
<td style="text-align:center;">
−491.763
</td>
</tr>
</tbody>
<tfoot>
<tr>
<td style="padding: 0; " colspan="100%">
<sup></sup> + p &lt; 0.1, * p &lt; 0.05, ** p &lt; 0.01, *** p &lt;
0.001
</td>
</tr>
</tfoot>
</table>
<p>In the AfD model, anti-trans views become significant and positive;
so does anti-feminism. The most noteworthy shift regarding
<strong>BSW</strong> is that <strong>anti-immigrant views become
positive, and significantly associated</strong>. Anti-feminism emerges
as a significant predictor - though only at the 90% level - and
anti-feminism is negatively associated with voting for BSW.</p>
<p>We explore the relationship between BSW vote and anti-immigrant views
in even greater detail in <a href="#id_10a-bsw-and-anti-immigrant-attitudes">section 10a on BSW and
anti-immigrant attitudes</a>.</p>
<p>To view model fit statistics, please set <code>eval = F</code>and
<code>echo = F</code>to <code>TRUE</code> in the markdown file.</p>
</div>
</div>
<div id="far-right-attitudes-bivariate-and-socio-demographic-controls-models" class="section level2">
<h2>8 Far-right Attitudes: Bivariate and Socio-demographic Controls
models</h2>
<p>In this section we look at further models predicting the link between
far-right attitudes and vote choice. These models are:</p>
<ul>
<li>bivariate models</li>
<li>models using only socio-demographic controls</li>
</ul>
<div id="a-bivariate-regression-models" class="section level3">
<h3>8a Bivariate regression models</h3>
<pre class="r"><code># Select vars we need
tm_rex &lt;- tm_all %&gt;% 
  select(REX, Ethno, NSIdeo, persgew, afd, bsw)

# drop NA to have same cases in all models
tm_rex &lt;- tm_rex %&gt;% 
  drop_na()

# surveydesign object
tm_rex_w &lt;- svydesign(id=~1, weights=~persgew, data = tm_rex)

# MODELS
m_rex_afd &lt;- svyglm(afd~REX,
                    family = quasibinomial(link = &quot;logit&quot;),
                    design = tm_rex_w)

m_ethno_afd &lt;- svyglm(afd~Ethno,
                    family = quasibinomial(link = &quot;logit&quot;),
                    design = tm_rex_w)

m_ns_afd &lt;- svyglm(afd~NSIdeo,
                      family = quasibinomial(link = &quot;logit&quot;),
                      design = tm_rex_w)

m_rex_bsw &lt;- svyglm(bsw~REX,
                    family = quasibinomial(link = &quot;logit&quot;),
                    design = tm_rex_w)

m_ethno_bsw &lt;- svyglm(bsw~Ethno,
                    family = quasibinomial(link = &quot;logit&quot;),
                    design = tm_rex_w)

m_ns_bsw &lt;- svyglm(bsw~NSIdeo,
                      family = quasibinomial(link = &quot;logit&quot;),
                      design = tm_rex_w)</code></pre>
<pre class="r"><code>modelsummary(
  list(&quot;Far-right (AfD)&quot; = m_rex_afd,
       &quot;Ethnocentrism (AfD)&quot; = m_ethno_afd,
       &quot;Neo-Nazi ideology (AfD)&quot; = m_ns_afd,
       &quot;Far-right (BSW)&quot; = m_rex_bsw, 
       &quot;Ethnocentrism (BSW)&quot; = m_ethno_bsw, 
       &quot;Neo-Nazi ideology (BSW)&quot; = m_ns_bsw
       ),
  exponentiate = T, # get OR
  stars = T,
  output = &quot;kableExtra&quot;,
  statistic = &quot;conf.int&quot;,
  gof_omit = &quot;RMSE|R2|Deviance|F|AIC|BIC|Log.Lik&quot;,
  title = &quot;Table: Bivariate Logistic regression models predicting AfD and BSW vote choice with far-right attitudes (Odds Ratios)&quot;,
  coef_rename = coef_names
)</code></pre>
<table style="NAborder-bottom: 0; width: auto !important; margin-left: auto; margin-right: auto;" class="table">
<caption>
Table: Bivariate Logistic regression models predicting AfD and BSW vote
choice with far-right attitudes (Odds Ratios)
</caption>
<thead>
<tr>
<th style="text-align:left;">
</th>
<th style="text-align:center;">
Far-right (AfD)
</th>
<th style="text-align:center;">
Ethnocentrism (AfD)
</th>
<th style="text-align:center;">
Neo-Nazi ideology (AfD)
</th>
<th style="text-align:center;">
Far-right (BSW)
</th>
<th style="text-align:center;">
Ethnocentrism (BSW)
</th>
<th style="text-align:center;">
Neo-Nazi ideology (BSW)
</th>
</tr>
</thead>
<tbody>
<tr>
<td style="text-align:left;">
(Intercept)
</td>
<td style="text-align:center;">
0.007***
</td>
<td style="text-align:center;">
0.004***
</td>
<td style="text-align:center;">
0.038***
</td>
<td style="text-align:center;">
0.123***
</td>
<td style="text-align:center;">
0.113***
</td>
<td style="text-align:center;">
0.145***
</td>
</tr>
<tr>
<td style="text-align:left;">
</td>
<td style="text-align:center;">
[0.003, 0.016]
</td>
<td style="text-align:center;">
[0.001, 0.010]
</td>
<td style="text-align:center;">
[0.020, 0.075]
</td>
<td style="text-align:center;">
[0.063, 0.241]
</td>
<td style="text-align:center;">
[0.063, 0.203]
</td>
<td style="text-align:center;">
[0.077, 0.275]
</td>
</tr>
<tr>
<td style="text-align:left;">
Far-right attitudes
</td>
<td style="text-align:center;">
5.049***
</td>
<td style="text-align:center;">
</td>
<td style="text-align:center;">
</td>
<td style="text-align:center;">
1.069
</td>
<td style="text-align:center;">
</td>
<td style="text-align:center;">
</td>
</tr>
<tr>
<td style="text-align:left;">
</td>
<td style="text-align:center;">
[3.382, 7.538]
</td>
<td style="text-align:center;">
</td>
<td style="text-align:center;">
</td>
<td style="text-align:center;">
[0.764, 1.496]
</td>
<td style="text-align:center;">
</td>
<td style="text-align:center;">
</td>
</tr>
<tr>
<td style="text-align:left;">
Ethnocentrism
</td>
<td style="text-align:center;">
</td>
<td style="text-align:center;">
4.509***
</td>
<td style="text-align:center;">
</td>
<td style="text-align:center;">
</td>
<td style="text-align:center;">
1.094
</td>
<td style="text-align:center;">
</td>
</tr>
<tr>
<td style="text-align:left;">
</td>
<td style="text-align:center;">
</td>
<td style="text-align:center;">
[3.224, 6.307]
</td>
<td style="text-align:center;">
</td>
<td style="text-align:center;">
</td>
<td style="text-align:center;">
[0.864, 1.384]
</td>
<td style="text-align:center;">
</td>
</tr>
<tr>
<td style="text-align:left;">
Neo-Nazi ideology
</td>
<td style="text-align:center;">
</td>
<td style="text-align:center;">
</td>
<td style="text-align:center;">
2.887***
</td>
<td style="text-align:center;">
</td>
<td style="text-align:center;">
</td>
<td style="text-align:center;">
0.979
</td>
</tr>
<tr>
<td style="text-align:left;box-shadow: 0px 1.5px">
</td>
<td style="text-align:center;box-shadow: 0px 1.5px">
</td>
<td style="text-align:center;box-shadow: 0px 1.5px">
</td>
<td style="text-align:center;box-shadow: 0px 1.5px">
[1.961, 4.250]
</td>
<td style="text-align:center;box-shadow: 0px 1.5px">
</td>
<td style="text-align:center;box-shadow: 0px 1.5px">
</td>
<td style="text-align:center;box-shadow: 0px 1.5px">
[0.647, 1.482]
</td>
</tr>
<tr>
<td style="text-align:left;">
Num.Obs.
</td>
<td style="text-align:center;">
1452
</td>
<td style="text-align:center;">
1452
</td>
<td style="text-align:center;">
1452
</td>
<td style="text-align:center;">
1452
</td>
<td style="text-align:center;">
1452
</td>
<td style="text-align:center;">
1452
</td>
</tr>
</tbody>
<tfoot>
<tr>
<td style="padding: 0; " colspan="100%">
<sup></sup> + p &lt; 0.1, * p &lt; 0.05, ** p &lt; 0.01, *** p &lt;
0.001
</td>
</tr>
</tfoot>
</table>
<p>What do the overall bivariate results tell us?</p>
<p>All three dimensions of far-right attitudes are <strong>significantly
associated</strong> with <strong>AfD voting</strong>, but
<strong>none</strong> are significant for <strong>BSW</strong>
voters.<br />
This confirms previous findings linking the AfD support to far-right
attitudes, while the BSW results stand in contrast to earlier research
finding initial indications for a link between BSW support and views
from the broader spectrum of far-right attitudes.</p>
<p>However, in the <strong>unweighted data</strong> (<a href="#id_9a-bivariate-models-far-right-attitudes-unweighted">see
robustness checks</a>), both the <strong>full far-right attitude
scale</strong> and its <strong>ethnocentrism</strong> subscale are
significantly associated with BSW voting in the bivariate models.
Neo-Nazi ideology, on the other hand, is not.</p>
<div id="model-fit" class="section level4">
<h4>Model fit</h4>
<p>To view model fit statistics, please set <code>eval = F</code>and
<code>echo = F</code>to <code>TRUE</code> in the markdown file.</p>
</div>
<div id="predicted-probabilitiess" class="section level4">
<h4>Predicted probabilitiess</h4>
<pre class="r"><code># all plots
cowplot::plot_grid(p10, p20,
                   nrow = 2)</code></pre>
<p><img role="img" src="data:image/png;base64,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" width="672" /></p>
</div>
</div>
<div id="b-regression-models-far-right-attitudes-with-socio-demographic-controls" class="section level3">
<h3>8b Regression Models Far-right Attitudes with Socio-demographic
Controls</h3>
<pre class="r"><code># select vars we need
tm_rex &lt;- tm_all %&gt;% 
  select(REX, Ethno, NSIdeo, persgew, afd, bsw, alter, gender, edu_gr, fin_sit, fair_share, unemployed, manual_worker)

# drop NA to have same cases in all models
tm_rex &lt;- tm_rex %&gt;% 
  drop_na()

# surveydesign object
tm_rex_w &lt;- svydesign(id=~1, weights=~persgew, data = tm_rex)

# MODELS
m1_rex_afd &lt;- svyglm(afd~REX+alter+gender+edu_gr+fin_sit+unemployed+manual_worker+fair_share,
                    family = quasibinomial(link = &quot;logit&quot;),
                    design = tm_rex_w)

m1_rex_bsw &lt;- svyglm(bsw~REX+alter+gender+edu_gr+fin_sit+unemployed+manual_worker+fair_share,
                    family = quasibinomial(link = &quot;logit&quot;),
                    design = tm_rex_w)

m1_ethno_afd &lt;- svyglm(afd~Ethno+alter+gender+edu_gr+fin_sit+unemployed+manual_worker+fair_share,
                    family = quasibinomial(link = &quot;logit&quot;),
                    design = tm_rex_w)

m1_ethno_bsw &lt;- svyglm(bsw~Ethno+alter+gender+edu_gr+fin_sit+unemployed+manual_worker+fair_share,
                    family = quasibinomial(link = &quot;logit&quot;),
                    design = tm_rex_w)

m1_ns_afd &lt;- svyglm(afd~NSIdeo+alter+gender+edu_gr+fin_sit+unemployed+manual_worker+fair_share,
                    family = quasibinomial(link = &quot;logit&quot;),
                    design = tm_rex_w)

m1_ns_bsw &lt;- svyglm(bsw~NSIdeo+alter+gender+edu_gr+fin_sit+unemployed+manual_worker+fair_share,
                    family = quasibinomial(link = &quot;logit&quot;),
                    design = tm_rex_w)</code></pre>
<pre class="r"><code>modelsummary(
  list(&quot;Far-right (AfD)&quot; = m1_rex_afd,
       &quot;Ethnocentrism (AfD)&quot; = m1_ethno_afd,
       &quot;Neo-Nazi ideology (AfD)&quot; = m1_ns_afd,
       &quot;Far-right (BSW)&quot; = m1_rex_bsw, 
       &quot;Ethnocentrism (BSW)&quot; = m1_ethno_bsw, 
       &quot;Neo-Nazi ideology (BSW)&quot; = m1_ns_bsw
       ),
  exponentiate = T, # get OR
  stars = T,
  output = &quot;kableExtra&quot;,
  statistic = &quot;conf.int&quot;,
  gof_omit = &quot;RMSE|R2|Deviance|F|AIC|BIC|Log.Lik&quot;,
  title = &quot;Table: Logistic regression models with socio-demographic controls predicting AfD and BSW vote choice with far-right attitudes (Odds Ratios)&quot;,
  coef_rename = coef_names
)</code></pre>
<table style="NAborder-bottom: 0; width: auto !important; margin-left: auto; margin-right: auto;" class="table">
<caption>
Table: Logistic regression models with socio-demographic controls
predicting AfD and BSW vote choice with far-right attitudes (Odds
Ratios)
</caption>
<thead>
<tr>
<th style="text-align:left;">
</th>
<th style="text-align:center;">
Far-right (AfD)
</th>
<th style="text-align:center;">
Ethnocentrism (AfD)
</th>
<th style="text-align:center;">
Neo-Nazi ideology (AfD)
</th>
<th style="text-align:center;">
Far-right (BSW)
</th>
<th style="text-align:center;">
Ethnocentrism (BSW)
</th>
<th style="text-align:center;">
Neo-Nazi ideology (BSW)
</th>
</tr>
</thead>
<tbody>
<tr>
<td style="text-align:left;">
(Intercept)
</td>
<td style="text-align:center;">
0.011***
</td>
<td style="text-align:center;">
0.007***
</td>
<td style="text-align:center;">
0.044***
</td>
<td style="text-align:center;">
0.079***
</td>
<td style="text-align:center;">
0.074***
</td>
<td style="text-align:center;">
0.088***
</td>
</tr>
<tr>
<td style="text-align:left;">
</td>
<td style="text-align:center;">
[0.004, 0.035]
</td>
<td style="text-align:center;">
[0.002, 0.022]
</td>
<td style="text-align:center;">
[0.018, 0.111]
</td>
<td style="text-align:center;">
[0.032, 0.194]
</td>
<td style="text-align:center;">
[0.032, 0.172]
</td>
<td style="text-align:center;">
[0.036, 0.212]
</td>
</tr>
<tr>
<td style="text-align:left;">
Far-right attitudes
</td>
<td style="text-align:center;">
5.298***
</td>
<td style="text-align:center;">
</td>
<td style="text-align:center;">
</td>
<td style="text-align:center;">
1.038
</td>
<td style="text-align:center;">
</td>
<td style="text-align:center;">
</td>
</tr>
<tr>
<td style="text-align:left;">
</td>
<td style="text-align:center;">
[3.322, 8.449]
</td>
<td style="text-align:center;">
</td>
<td style="text-align:center;">
</td>
<td style="text-align:center;">
[0.688, 1.566]
</td>
<td style="text-align:center;">
</td>
<td style="text-align:center;">
</td>
</tr>
<tr>
<td style="text-align:left;">
Age
</td>
<td style="text-align:center;">
0.981**
</td>
<td style="text-align:center;">
0.977***
</td>
<td style="text-align:center;">
0.986*
</td>
<td style="text-align:center;">
1.010
</td>
<td style="text-align:center;">
1.009
</td>
<td style="text-align:center;">
1.010
</td>
</tr>
<tr>
<td style="text-align:left;">
</td>
<td style="text-align:center;">
[0.968, 0.994]
</td>
<td style="text-align:center;">
[0.963, 0.990]
</td>
<td style="text-align:center;">
[0.974, 0.999]
</td>
<td style="text-align:center;">
[0.997, 1.023]
</td>
<td style="text-align:center;">
[0.996, 1.022]
</td>
<td style="text-align:center;">
[0.997, 1.023]
</td>
</tr>
<tr>
<td style="text-align:left;">
Gender (female)
</td>
<td style="text-align:center;">
0.480**
</td>
<td style="text-align:center;">
0.494**
</td>
<td style="text-align:center;">
0.491**
</td>
<td style="text-align:center;">
1.238
</td>
<td style="text-align:center;">
1.243
</td>
<td style="text-align:center;">
1.230
</td>
</tr>
<tr>
<td style="text-align:left;">
</td>
<td style="text-align:center;">
[0.281, 0.822]
</td>
<td style="text-align:center;">
[0.290, 0.843]
</td>
<td style="text-align:center;">
[0.296, 0.814]
</td>
<td style="text-align:center;">
[0.783, 1.958]
</td>
<td style="text-align:center;">
[0.787, 1.964]
</td>
<td style="text-align:center;">
[0.779, 1.943]
</td>
</tr>
<tr>
<td style="text-align:left;">
Education (no High school diploma)
</td>
<td style="text-align:center;">
1.936*
</td>
<td style="text-align:center;">
1.983*
</td>
<td style="text-align:center;">
2.560***
</td>
<td style="text-align:center;">
0.710
</td>
<td style="text-align:center;">
0.699
</td>
<td style="text-align:center;">
0.730
</td>
</tr>
<tr>
<td style="text-align:left;">
</td>
<td style="text-align:center;">
[1.132, 3.311]
</td>
<td style="text-align:center;">
[1.162, 3.383]
</td>
<td style="text-align:center;">
[1.519, 4.316]
</td>
<td style="text-align:center;">
[0.437, 1.155]
</td>
<td style="text-align:center;">
[0.430, 1.136]
</td>
<td style="text-align:center;">
[0.454, 1.171]
</td>
</tr>
<tr>
<td style="text-align:left;">
Indiv. financial situation (bad)
</td>
<td style="text-align:center;">
1.481
</td>
<td style="text-align:center;">
1.459
</td>
<td style="text-align:center;">
1.598
</td>
<td style="text-align:center;">
0.738
</td>
<td style="text-align:center;">
0.735
</td>
<td style="text-align:center;">
0.745
</td>
</tr>
<tr>
<td style="text-align:left;">
</td>
<td style="text-align:center;">
[0.801, 2.737]
</td>
<td style="text-align:center;">
[0.778, 2.733]
</td>
<td style="text-align:center;">
[0.910, 2.805]
</td>
<td style="text-align:center;">
[0.393, 1.385]
</td>
<td style="text-align:center;">
[0.392, 1.378]
</td>
<td style="text-align:center;">
[0.397, 1.399]
</td>
</tr>
<tr>
<td style="text-align:left;">
Unemployment
</td>
<td style="text-align:center;">
0.272*
</td>
<td style="text-align:center;">
0.390
</td>
<td style="text-align:center;">
0.334+
</td>
<td style="text-align:center;">
2.368
</td>
<td style="text-align:center;">
2.363
</td>
<td style="text-align:center;">
2.446
</td>
</tr>
<tr>
<td style="text-align:left;">
</td>
<td style="text-align:center;">
[0.079, 0.931]
</td>
<td style="text-align:center;">
[0.113, 1.342]
</td>
<td style="text-align:center;">
[0.108, 1.027]
</td>
<td style="text-align:center;">
[0.597, 9.387]
</td>
<td style="text-align:center;">
[0.595, 9.374]
</td>
<td style="text-align:center;">
[0.614, 9.746]
</td>
</tr>
<tr>
<td style="text-align:left;">
Manual worker
</td>
<td style="text-align:center;">
1.355
</td>
<td style="text-align:center;">
1.198
</td>
<td style="text-align:center;">
1.476
</td>
<td style="text-align:center;">
1.717
</td>
<td style="text-align:center;">
1.699
</td>
<td style="text-align:center;">
1.722
</td>
</tr>
<tr>
<td style="text-align:left;">
</td>
<td style="text-align:center;">
[0.715, 2.567]
</td>
<td style="text-align:center;">
[0.606, 2.371]
</td>
<td style="text-align:center;">
[0.813, 2.678]
</td>
<td style="text-align:center;">
[0.852, 3.460]
</td>
<td style="text-align:center;">
[0.845, 3.416]
</td>
<td style="text-align:center;">
[0.859, 3.453]
</td>
</tr>
<tr>
<td style="text-align:left;">
Econ. deprivation
</td>
<td style="text-align:center;">
1.049
</td>
<td style="text-align:center;">
1.030
</td>
<td style="text-align:center;">
1.269
</td>
<td style="text-align:center;">
1.201
</td>
<td style="text-align:center;">
1.185
</td>
<td style="text-align:center;">
1.224
</td>
</tr>
<tr>
<td style="text-align:left;">
</td>
<td style="text-align:center;">
[0.605, 1.819]
</td>
<td style="text-align:center;">
[0.590, 1.797]
</td>
<td style="text-align:center;">
[0.761, 2.118]
</td>
<td style="text-align:center;">
[0.715, 2.016]
</td>
<td style="text-align:center;">
[0.708, 1.981]
</td>
<td style="text-align:center;">
[0.732, 2.046]
</td>
</tr>
<tr>
<td style="text-align:left;">
Ethnocentrism
</td>
<td style="text-align:center;">
</td>
<td style="text-align:center;">
4.949***
</td>
<td style="text-align:center;">
</td>
<td style="text-align:center;">
</td>
<td style="text-align:center;">
1.073
</td>
<td style="text-align:center;">
</td>
</tr>
<tr>
<td style="text-align:left;">
</td>
<td style="text-align:center;">
</td>
<td style="text-align:center;">
[3.409, 7.186]
</td>
<td style="text-align:center;">
</td>
<td style="text-align:center;">
</td>
<td style="text-align:center;">
[0.811, 1.421]
</td>
<td style="text-align:center;">
</td>
</tr>
<tr>
<td style="text-align:left;">
Neo-Nazi ideology
</td>
<td style="text-align:center;">
</td>
<td style="text-align:center;">
</td>
<td style="text-align:center;">
2.615***
</td>
<td style="text-align:center;">
</td>
<td style="text-align:center;">
</td>
<td style="text-align:center;">
0.950
</td>
</tr>
<tr>
<td style="text-align:left;box-shadow: 0px 1.5px">
</td>
<td style="text-align:center;box-shadow: 0px 1.5px">
</td>
<td style="text-align:center;box-shadow: 0px 1.5px">
</td>
<td style="text-align:center;box-shadow: 0px 1.5px">
[1.694, 4.036]
</td>
<td style="text-align:center;box-shadow: 0px 1.5px">
</td>
<td style="text-align:center;box-shadow: 0px 1.5px">
</td>
<td style="text-align:center;box-shadow: 0px 1.5px">
[0.590, 1.529]
</td>
</tr>
<tr>
<td style="text-align:left;">
Num.Obs.
</td>
<td style="text-align:center;">
1394
</td>
<td style="text-align:center;">
1394
</td>
<td style="text-align:center;">
1394
</td>
<td style="text-align:center;">
1394
</td>
<td style="text-align:center;">
1394
</td>
<td style="text-align:center;">
1394
</td>
</tr>
</tbody>
<tfoot>
<tr>
<td style="padding: 0; " colspan="100%">
<sup></sup> + p &lt; 0.1, * p &lt; 0.05, ** p &lt; 0.01, *** p &lt;
0.001
</td>
</tr>
</tfoot>
</table>
<div id="model-fit-statistics-8" class="section level4">
<h4>Model Fit Statistics</h4>
<p>To view model fit statistics, please set <code>eval = F</code>and
<code>echo = F</code>to <code>TRUE</code> in the markdown file.</p>
</div>
</div>
</div>
<div id="models-far-right-attitudes-using-unweighted-data" class="section level2">
<h2>9 Models Far-right Attitudes using Unweighted Data</h2>
<div id="a-bivariate-models-far-right-attitudes-unweighted" class="section level3">
<h3>9a Bivariate Models Far-right Attitudes <em>unweighted</em></h3>
<p>To test the robustness of our findings regarding the association (or
non-association) between far-right attitudes and AfD/BSW vote choice, we
now compute further robustness checks using unweighted data. These
additional models include:</p>
<ul>
<li><p>simple bivariate models,</p></li>
<li><p>models with socio-demographic controls,</p></li>
<li><p>full models</p></li>
</ul>
<pre class="r"><code># Select vars we need 
tm_rex &lt;- tm_all %&gt;% 
  select(REX, REXgr, Ethno, Ethnogr, NSIdeo, NSIdeogr, persgew, recall_ltw_named, afd, bsw)

# drop NA 
tm_rex &lt;- tm_rex %&gt;% 
  drop_na()

# surveydesign object
tm_rex_w &lt;- svydesign(id=~1, weights=~persgew, data = tm_rex)

# MODELS
m_rex_afd2 &lt;- glm(afd~REX,
                  family = binomial(link = &quot;logit&quot;),
                  data = tm_rex)

m_rex_bsw2 &lt;- glm(bsw~REX,
                  family = binomial(link = &quot;logit&quot;),
                  data = tm_rex)

m_ethno_afd2 &lt;- glm(afd~Ethno,
                    family = binomial(link = &quot;logit&quot;),
                    data = tm_rex)

m_ethno_bsw2 &lt;- glm(bsw~Ethno,
                    family = binomial(link = &quot;logit&quot;),
                    data = tm_rex)

m_ns_afd2 &lt;- glm(afd~NSIdeo,
                 family = binomial(link = &quot;logit&quot;),
                 data = tm_rex)

m_ns_bsw2 &lt;- glm(bsw~NSIdeo,
                 family = binomial(link = &quot;logit&quot;),
                 data = tm_rex)</code></pre>
<pre class="r"><code>modelsummary(
  list(&quot;Far-right (AfD)&quot; = m_rex_afd2,
       &quot;Ethnocentrism (AfD)&quot; = m_ethno_afd2,
       &quot;Neo-Nazi ideology (AfD)&quot; = m_ns_afd2,
       &quot;Far-right (BSW)&quot; = m_rex_bsw2, 
       &quot;Ethnocentrism (BSW)&quot; = m_ethno_bsw2, 
       &quot;Neo-Nazi ideology (BSW)&quot; = m_ns_bsw2
       ),
  exponentiate = T, # get OR
  stars = T,
  output = &quot;kableExtra&quot;,
  statistic = &quot;conf.int&quot;,
  gof_omit = &quot;RMSE|R2|Deviance|F&quot;,
  title = &quot;Table: Bivariate logistic regression models predicting AfD and BSW vote choice with far-right attitudes, unweighted data (Odds Ratios)&quot;,
  coef_rename = coef_names
)</code></pre>
<table style="NAborder-bottom: 0; width: auto !important; margin-left: auto; margin-right: auto;" class="table">
<caption>
Table: Bivariate logistic regression models predicting AfD and BSW vote
choice with far-right attitudes, unweighted data (Odds Ratios)
</caption>
<thead>
<tr>
<th style="text-align:left;">
</th>
<th style="text-align:center;">
Far-right (AfD)
</th>
<th style="text-align:center;">
Ethnocentrism (AfD)
</th>
<th style="text-align:center;">
Neo-Nazi ideology (AfD)
</th>
<th style="text-align:center;">
Far-right (BSW)
</th>
<th style="text-align:center;">
Ethnocentrism (BSW)
</th>
<th style="text-align:center;">
Neo-Nazi ideology (BSW)
</th>
</tr>
</thead>
<tbody>
<tr>
<td style="text-align:left;">
(Intercept)
</td>
<td style="text-align:center;">
0.002***
</td>
<td style="text-align:center;">
0.001***
</td>
<td style="text-align:center;">
0.012***
</td>
<td style="text-align:center;">
0.072***
</td>
<td style="text-align:center;">
0.068***
</td>
<td style="text-align:center;">
0.103***
</td>
</tr>
<tr>
<td style="text-align:left;">
</td>
<td style="text-align:center;">
[0.001, 0.003]
</td>
<td style="text-align:center;">
[0.000, 0.002]
</td>
<td style="text-align:center;">
[0.008, 0.020]
</td>
<td style="text-align:center;">
[0.044, 0.118]
</td>
<td style="text-align:center;">
[0.042, 0.108]
</td>
<td style="text-align:center;">
[0.066, 0.162]
</td>
</tr>
<tr>
<td style="text-align:left;">
Far-right attitudes
</td>
<td style="text-align:center;">
9.318***
</td>
<td style="text-align:center;">
</td>
<td style="text-align:center;">
</td>
<td style="text-align:center;">
1.450**
</td>
<td style="text-align:center;">
</td>
<td style="text-align:center;">
</td>
</tr>
<tr>
<td style="text-align:left;">
</td>
<td style="text-align:center;">
[6.893, 12.812]
</td>
<td style="text-align:center;">
</td>
<td style="text-align:center;">
</td>
<td style="text-align:center;">
[1.125, 1.862]
</td>
<td style="text-align:center;">
</td>
<td style="text-align:center;">
</td>
</tr>
<tr>
<td style="text-align:left;">
Ethnocentrism
</td>
<td style="text-align:center;">
</td>
<td style="text-align:center;">
7.182***
</td>
<td style="text-align:center;">
</td>
<td style="text-align:center;">
</td>
<td style="text-align:center;">
1.390***
</td>
<td style="text-align:center;">
</td>
</tr>
<tr>
<td style="text-align:left;">
</td>
<td style="text-align:center;">
</td>
<td style="text-align:center;">
[5.490, 9.565]
</td>
<td style="text-align:center;">
</td>
<td style="text-align:center;">
</td>
<td style="text-align:center;">
[1.145, 1.688]
</td>
<td style="text-align:center;">
</td>
</tr>
<tr>
<td style="text-align:left;">
Neo-Nazi ideology
</td>
<td style="text-align:center;">
</td>
<td style="text-align:center;">
</td>
<td style="text-align:center;">
5.094***
</td>
<td style="text-align:center;">
</td>
<td style="text-align:center;">
</td>
<td style="text-align:center;">
1.255
</td>
</tr>
<tr>
<td style="text-align:left;box-shadow: 0px 1.5px">
</td>
<td style="text-align:center;box-shadow: 0px 1.5px">
</td>
<td style="text-align:center;box-shadow: 0px 1.5px">
</td>
<td style="text-align:center;box-shadow: 0px 1.5px">
[3.896, 6.717]
</td>
<td style="text-align:center;box-shadow: 0px 1.5px">
</td>
<td style="text-align:center;box-shadow: 0px 1.5px">
</td>
<td style="text-align:center;box-shadow: 0px 1.5px">
[0.930, 1.666]
</td>
</tr>
<tr>
<td style="text-align:left;">
Num.Obs.
</td>
<td style="text-align:center;">
1452
</td>
<td style="text-align:center;">
1452
</td>
<td style="text-align:center;">
1452
</td>
<td style="text-align:center;">
1452
</td>
<td style="text-align:center;">
1452
</td>
<td style="text-align:center;">
1452
</td>
</tr>
<tr>
<td style="text-align:left;">
AIC
</td>
<td style="text-align:center;">
857.5
</td>
<td style="text-align:center;">
834.1
</td>
<td style="text-align:center;">
979.1
</td>
<td style="text-align:center;">
1088.0
</td>
<td style="text-align:center;">
1085.1
</td>
<td style="text-align:center;">
1093.9
</td>
</tr>
<tr>
<td style="text-align:left;">
BIC
</td>
<td style="text-align:center;">
868.1
</td>
<td style="text-align:center;">
844.6
</td>
<td style="text-align:center;">
989.6
</td>
<td style="text-align:center;">
1098.6
</td>
<td style="text-align:center;">
1095.7
</td>
<td style="text-align:center;">
1104.5
</td>
</tr>
<tr>
<td style="text-align:left;">
Log.Lik.
</td>
<td style="text-align:center;">
−426.763
</td>
<td style="text-align:center;">
−415.026
</td>
<td style="text-align:center;">
−487.532
</td>
<td style="text-align:center;">
−542.023
</td>
<td style="text-align:center;">
−540.570
</td>
<td style="text-align:center;">
−544.973
</td>
</tr>
</tbody>
<tfoot>
<tr>
<td style="padding: 0; " colspan="100%">
<sup></sup> + p &lt; 0.1, * p &lt; 0.05, ** p &lt; 0.01, *** p &lt;
0.001
</td>
</tr>
</tfoot>
</table>
<p>Computing the far-right attitudes models with unweighted data is
where we find the most striking differences for BSW support in
comparison to the models above computed using the weighted data.</p>
<p>Both the full far-right attitude scale and its ethnocentrism subscale
are significantly associated with BSW voting in bivariate models. Yet,
in comparison between AfD and BSW, it’s worth noting that the OR for
ethnocentrism is much smaller for BSW (1.4 vs. 7.2), this shows how much
more strongly far-right attitudes are tied to AfD support. Yet, these
findings from the unweighted data aren’t entirely surprising. As shown
in the <a href="#bivariate-analysis">bivariate analysis</a> crosstables,
BSW voters display a <strong>higher share of far-right/ethnocentric
views</strong> compared to voters of the left-wing parties Greens, SPD,
and the Left — though their share is lower than that of AfD or CDU
voters.</p>
</div>
<div id="b-models-with-socio-demographic-controls-far-right-attitudes-unweighted" class="section level3">
<h3>9b Models with Socio-demographic Controls Far-right Attitudes
<em>unweighted</em></h3>
<pre class="r"><code># select vars we need
tm_rex &lt;- tm_all %&gt;% 
  select(REX, REXgr, Ethno, Ethnogr, NSIdeo, NSIdeogr, persgew, recall_ltw_named, afd, bsw, alter, gender, edu_gr, fin_sit, fair_share, unemployed, manual_worker)

# drop NA to have same cases in all models
tm_rex &lt;- tm_rex %&gt;% 
  drop_na()

# surveydesign object
tm_rex_w &lt;- svydesign(id=~1, weights=~persgew, data = tm_rex)

# MODELS
m1_rex_afd2 &lt;- glm(afd~REX+alter+gender+edu_gr+fin_sit+unemployed+manual_worker+fair_share,
                   family = binomial(link = &quot;logit&quot;),
                   data = tm_rex)

m1_ethno_afd2 &lt;- glm(afd~Ethno+alter+gender+edu_gr+fin_sit+unemployed+manual_worker+fair_share,
                     family = binomial(link = &quot;logit&quot;),
                     data = tm_rex)

m1_ns_afd2 &lt;- glm(afd~NSIdeo+alter+gender+edu_gr+fin_sit+unemployed+manual_worker+fair_share,
                  family = binomial(link = &quot;logit&quot;),
                  data = tm_rex)

m1_rex_bsw2 &lt;- glm(bsw~REX+alter+gender+edu_gr+fin_sit+unemployed+manual_worker+fair_share,
                   family = binomial(link = &quot;logit&quot;),
                   data = tm_rex)

m1_ethno_bsw2 &lt;- glm(bsw~Ethno+alter+gender+edu_gr+fin_sit+unemployed+manual_worker+fair_share,
                     family = binomial(link = &quot;logit&quot;),
                     data = tm_rex)

m1_ns_bsw2 &lt;- glm(bsw~NSIdeo+alter+gender+edu_gr+fin_sit+unemployed+manual_worker+fair_share,
                  family = binomial(link = &quot;logit&quot;),
                  data = tm_rex)</code></pre>
<pre class="r"><code>modelsummary(
  list(&quot;Far-right (AfD)&quot; = m1_rex_afd2,
       &quot;Ethnocentrism (AfD)&quot; = m1_ethno_afd2,
       &quot;Neo-Nazi ideology (AfD)&quot; = m1_ns_afd2,
       &quot;Far-right (BSW)&quot; = m1_rex_bsw2, 
       &quot;Ethnocentrism (BSW)&quot; = m1_ethno_bsw2, 
       &quot;Neo-Nazi ideology (BSW)&quot; = m1_ns_bsw2
       ),
  exponentiate = T, # get OR
  stars = T,
  output = &quot;kableExtra&quot;,
  statistic = &quot;conf.int&quot;,
  gof_omit = &quot;RMSE|R2|Deviance|F&quot;,
  title = &quot;Table: Logistic regression models with socio-demographic controls predicting AfD and BSW vote choice with far-right attitudes, unweighted data (Odds Ratios)&quot;,
  coef_rename = coef_names
)</code></pre>
<table style="NAborder-bottom: 0; width: auto !important; margin-left: auto; margin-right: auto;" class="table">
<caption>
Table: Logistic regression models with socio-demographic controls
predicting AfD and BSW vote choice with far-right attitudes, unweighted
data (Odds Ratios)
</caption>
<thead>
<tr>
<th style="text-align:left;">
</th>
<th style="text-align:center;">
Far-right (AfD)
</th>
<th style="text-align:center;">
Ethnocentrism (AfD)
</th>
<th style="text-align:center;">
Neo-Nazi ideology (AfD)
</th>
<th style="text-align:center;">
Far-right (BSW)
</th>
<th style="text-align:center;">
Ethnocentrism (BSW)
</th>
<th style="text-align:center;">
Neo-Nazi ideology (BSW)
</th>
</tr>
</thead>
<tbody>
<tr>
<td style="text-align:left;">
(Intercept)
</td>
<td style="text-align:center;">
0.002***
</td>
<td style="text-align:center;">
0.001***
</td>
<td style="text-align:center;">
0.014***
</td>
<td style="text-align:center;">
0.023***
</td>
<td style="text-align:center;">
0.022***
</td>
<td style="text-align:center;">
0.030***
</td>
</tr>
<tr>
<td style="text-align:left;">
</td>
<td style="text-align:center;">
[0.001, 0.005]
</td>
<td style="text-align:center;">
[0.000, 0.003]
</td>
<td style="text-align:center;">
[0.007, 0.028]
</td>
<td style="text-align:center;">
[0.011, 0.047]
</td>
<td style="text-align:center;">
[0.011, 0.043]
</td>
<td style="text-align:center;">
[0.015, 0.059]
</td>
</tr>
<tr>
<td style="text-align:left;">
Far-right attitudes
</td>
<td style="text-align:center;">
8.846***
</td>
<td style="text-align:center;">
</td>
<td style="text-align:center;">
</td>
<td style="text-align:center;">
1.275
</td>
<td style="text-align:center;">
</td>
<td style="text-align:center;">
</td>
</tr>
<tr>
<td style="text-align:left;">
</td>
<td style="text-align:center;">
[6.262, 12.743]
</td>
<td style="text-align:center;">
</td>
<td style="text-align:center;">
</td>
<td style="text-align:center;">
[0.948, 1.707]
</td>
<td style="text-align:center;">
</td>
<td style="text-align:center;">
</td>
</tr>
<tr>
<td style="text-align:left;">
Age
</td>
<td style="text-align:center;">
0.993
</td>
<td style="text-align:center;">
0.990+
</td>
<td style="text-align:center;">
0.996
</td>
<td style="text-align:center;">
1.023***
</td>
<td style="text-align:center;">
1.022***
</td>
<td style="text-align:center;">
1.024***
</td>
</tr>
<tr>
<td style="text-align:left;">
</td>
<td style="text-align:center;">
[0.982, 1.004]
</td>
<td style="text-align:center;">
[0.979, 1.001]
</td>
<td style="text-align:center;">
[0.986, 1.007]
</td>
<td style="text-align:center;">
[1.013, 1.033]
</td>
<td style="text-align:center;">
[1.013, 1.032]
</td>
<td style="text-align:center;">
[1.014, 1.033]
</td>
</tr>
<tr>
<td style="text-align:left;">
Gender (female)
</td>
<td style="text-align:center;">
0.610*
</td>
<td style="text-align:center;">
0.644*
</td>
<td style="text-align:center;">
0.568**
</td>
<td style="text-align:center;">
1.270
</td>
<td style="text-align:center;">
1.280
</td>
<td style="text-align:center;">
1.239
</td>
</tr>
<tr>
<td style="text-align:left;">
</td>
<td style="text-align:center;">
[0.411, 0.896]
</td>
<td style="text-align:center;">
[0.435, 0.946]
</td>
<td style="text-align:center;">
[0.392, 0.816]
</td>
<td style="text-align:center;">
[0.918, 1.760]
</td>
<td style="text-align:center;">
[0.925, 1.775]
</td>
<td style="text-align:center;">
[0.896, 1.715]
</td>
</tr>
<tr>
<td style="text-align:left;">
Education (no High school diploma)
</td>
<td style="text-align:center;">
1.572*
</td>
<td style="text-align:center;">
1.708*
</td>
<td style="text-align:center;">
2.057***
</td>
<td style="text-align:center;">
0.749
</td>
<td style="text-align:center;">
0.740
</td>
<td style="text-align:center;">
0.796
</td>
</tr>
<tr>
<td style="text-align:left;">
</td>
<td style="text-align:center;">
[1.040, 2.384]
</td>
<td style="text-align:center;">
[1.134, 2.585]
</td>
<td style="text-align:center;">
[1.392, 3.056]
</td>
<td style="text-align:center;">
[0.519, 1.076]
</td>
<td style="text-align:center;">
[0.514, 1.060]
</td>
<td style="text-align:center;">
[0.554, 1.138]
</td>
</tr>
<tr>
<td style="text-align:left;">
Indiv. financial situation (bad)
</td>
<td style="text-align:center;">
1.363
</td>
<td style="text-align:center;">
1.390
</td>
<td style="text-align:center;">
1.530+
</td>
<td style="text-align:center;">
1.076
</td>
<td style="text-align:center;">
1.071
</td>
<td style="text-align:center;">
1.104
</td>
</tr>
<tr>
<td style="text-align:left;">
</td>
<td style="text-align:center;">
[0.855, 2.157]
</td>
<td style="text-align:center;">
[0.873, 2.202]
</td>
<td style="text-align:center;">
[0.992, 2.340]
</td>
<td style="text-align:center;">
[0.696, 1.640]
</td>
<td style="text-align:center;">
[0.692, 1.633]
</td>
<td style="text-align:center;">
[0.715, 1.679]
</td>
</tr>
<tr>
<td style="text-align:left;">
Unemployment
</td>
<td style="text-align:center;">
0.544
</td>
<td style="text-align:center;">
0.798
</td>
<td style="text-align:center;">
0.580
</td>
<td style="text-align:center;">
2.795*
</td>
<td style="text-align:center;">
2.872*
</td>
<td style="text-align:center;">
2.861*
</td>
</tr>
<tr>
<td style="text-align:left;">
</td>
<td style="text-align:center;">
[0.132, 1.860]
</td>
<td style="text-align:center;">
[0.217, 2.546]
</td>
<td style="text-align:center;">
[0.152, 1.820]
</td>
<td style="text-align:center;">
[1.046, 6.681]
</td>
<td style="text-align:center;">
[1.076, 6.864]
</td>
<td style="text-align:center;">
[1.072, 6.836]
</td>
</tr>
<tr>
<td style="text-align:left;">
Manual worker
</td>
<td style="text-align:center;">
1.295
</td>
<td style="text-align:center;">
1.192
</td>
<td style="text-align:center;">
1.486+
</td>
<td style="text-align:center;">
1.575+
</td>
<td style="text-align:center;">
1.552+
</td>
<td style="text-align:center;">
1.623+
</td>
</tr>
<tr>
<td style="text-align:left;">
</td>
<td style="text-align:center;">
[0.784, 2.109]
</td>
<td style="text-align:center;">
[0.720, 1.947]
</td>
<td style="text-align:center;">
[0.928, 2.347]
</td>
<td style="text-align:center;">
[0.947, 2.553]
</td>
<td style="text-align:center;">
[0.932, 2.516]
</td>
<td style="text-align:center;">
[0.977, 2.625]
</td>
</tr>
<tr>
<td style="text-align:left;">
Econ. deprivation
</td>
<td style="text-align:center;">
0.839
</td>
<td style="text-align:center;">
0.798
</td>
<td style="text-align:center;">
1.034
</td>
<td style="text-align:center;">
1.500*
</td>
<td style="text-align:center;">
1.475*
</td>
<td style="text-align:center;">
1.560*
</td>
</tr>
<tr>
<td style="text-align:left;">
</td>
<td style="text-align:center;">
[0.555, 1.263]
</td>
<td style="text-align:center;">
[0.527, 1.202]
</td>
<td style="text-align:center;">
[0.702, 1.517]
</td>
<td style="text-align:center;">
[1.055, 2.132]
</td>
<td style="text-align:center;">
[1.037, 2.099]
</td>
<td style="text-align:center;">
[1.101, 2.212]
</td>
</tr>
<tr>
<td style="text-align:left;">
Ethnocentrism
</td>
<td style="text-align:center;">
</td>
<td style="text-align:center;">
7.136***
</td>
<td style="text-align:center;">
</td>
<td style="text-align:center;">
</td>
<td style="text-align:center;">
1.266*
</td>
<td style="text-align:center;">
</td>
</tr>
<tr>
<td style="text-align:left;">
</td>
<td style="text-align:center;">
</td>
<td style="text-align:center;">
[5.253, 9.893]
</td>
<td style="text-align:center;">
</td>
<td style="text-align:center;">
</td>
<td style="text-align:center;">
[1.015, 1.580]
</td>
<td style="text-align:center;">
</td>
</tr>
<tr>
<td style="text-align:left;">
Neo-Nazi ideology
</td>
<td style="text-align:center;">
</td>
<td style="text-align:center;">
</td>
<td style="text-align:center;">
4.094***
</td>
<td style="text-align:center;">
</td>
<td style="text-align:center;">
</td>
<td style="text-align:center;">
1.078
</td>
</tr>
<tr>
<td style="text-align:left;box-shadow: 0px 1.5px">
</td>
<td style="text-align:center;box-shadow: 0px 1.5px">
</td>
<td style="text-align:center;box-shadow: 0px 1.5px">
</td>
<td style="text-align:center;box-shadow: 0px 1.5px">
[3.041, 5.558]
</td>
<td style="text-align:center;box-shadow: 0px 1.5px">
</td>
<td style="text-align:center;box-shadow: 0px 1.5px">
</td>
<td style="text-align:center;box-shadow: 0px 1.5px">
[0.771, 1.483]
</td>
</tr>
<tr>
<td style="text-align:left;">
Num.Obs.
</td>
<td style="text-align:center;">
1394
</td>
<td style="text-align:center;">
1394
</td>
<td style="text-align:center;">
1394
</td>
<td style="text-align:center;">
1394
</td>
<td style="text-align:center;">
1394
</td>
<td style="text-align:center;">
1394
</td>
</tr>
<tr>
<td style="text-align:left;">
AIC
</td>
<td style="text-align:center;">
784.4
</td>
<td style="text-align:center;">
760.1
</td>
<td style="text-align:center;">
883.4
</td>
<td style="text-align:center;">
1042.9
</td>
<td style="text-align:center;">
1041.1
</td>
<td style="text-align:center;">
1045.2
</td>
</tr>
<tr>
<td style="text-align:left;">
BIC
</td>
<td style="text-align:center;">
831.6
</td>
<td style="text-align:center;">
807.3
</td>
<td style="text-align:center;">
930.5
</td>
<td style="text-align:center;">
1090.0
</td>
<td style="text-align:center;">
1088.2
</td>
<td style="text-align:center;">
1092.4
</td>
</tr>
<tr>
<td style="text-align:left;">
Log.Lik.
</td>
<td style="text-align:center;">
−383.219
</td>
<td style="text-align:center;">
−371.052
</td>
<td style="text-align:center;">
−432.682
</td>
<td style="text-align:center;">
−512.428
</td>
<td style="text-align:center;">
−511.532
</td>
<td style="text-align:center;">
−513.625
</td>
</tr>
</tbody>
<tfoot>
<tr>
<td style="padding: 0; " colspan="100%">
<sup></sup> + p &lt; 0.1, * p &lt; 0.05, ** p &lt; 0.01, *** p &lt;
0.001
</td>
</tr>
</tfoot>
</table>
<p>As expected, all three far-right attitudes scales are significantly
associated with AfD support in the unweighted data as well.</p>
<p>In the unweighted data with socio-demographic controls, ethnocentrism
remains significantly linked to BSW support (similar to the bivariate
model), while the far-right attitudes full scale and the neo-Nazi
ideology subscale are not signifcantly associated.</p>
<p>To view model fit statistics, please set <code>eval = F</code>and
<code>echo = F</code>to <code>TRUE</code> in the markdown file.</p>
</div>
<div id="c-full-models-far-right-attitudes-unweighted" class="section level3">
<h3>9c Full Models Far-right Attitudes <em>unweighted</em></h3>
<pre class="r"><code># select vars we need
tm_rex &lt;- tm_all %&gt;% 
  select(REX, REXgr, Ethno, Ethnogr, NSIdeo, NSIdeogr, alter, gender, edu_gr, unemployed, manual_worker, fin_sit, fair_share, status_anx, anti_immigration, anti_feminism, anti_trans, econ_situation_th, second_class, swd_gr, pol_distrust, RR, afd, bsw, persgew)

# drop NA to have same cases in all models
tm_rex &lt;- tm_rex %&gt;% 
  drop_na()

# surveydesign object
tm_rex_w &lt;- svydesign(id=~1, weights=~persgew, data = tm_rex)

# MODELS
m1_rex_afd &lt;- glm(afd~REX+anti_feminism+anti_trans+second_class+swd_gr+pol_distrust+RR+alter+gender+edu_gr+fin_sit+unemployed+manual_worker+fair_share+status_anx+econ_situation_th,
                     family = binomial(link = &quot;logit&quot;),
                     data = tm_rex)

m1_rex_bsw &lt;- glm(bsw~REX+anti_feminism+anti_trans+second_class+swd_gr+pol_distrust+RR+alter+gender+edu_gr+fin_sit+unemployed+manual_worker+fair_share+status_anx+econ_situation_th,
                     family = binomial(link = &quot;logit&quot;),
                     data = tm_rex)

m1_ethno_afd &lt;- glm(afd~Ethno+anti_feminism+anti_trans+second_class+swd_gr+pol_distrust+RR+alter+gender+edu_gr+fin_sit+unemployed+manual_worker+fair_share+status_anx+econ_situation_th,
                       family = binomial(link = &quot;logit&quot;),
                       data = tm_rex)

m1_ethno_bsw &lt;- glm(bsw~Ethno+anti_feminism+anti_trans+second_class+swd_gr+pol_distrust+RR+alter+gender+edu_gr+fin_sit+unemployed+manual_worker+fair_share+status_anx+econ_situation_th,
                       family = binomial(link = &quot;logit&quot;),
                       data = tm_rex)

m1_ns_afd &lt;- glm(afd~NSIdeo+anti_feminism+anti_trans+second_class+swd_gr+pol_distrust+RR+alter+gender+edu_gr+fin_sit+unemployed+manual_worker+fair_share+status_anx+econ_situation_th,
                    family = binomial(link = &quot;logit&quot;),
                    data = tm_rex)

m1_ns_bsw &lt;- glm(bsw~NSIdeo+anti_feminism+anti_trans+second_class+swd_gr+pol_distrust+RR+alter+gender+edu_gr+fin_sit+unemployed+manual_worker+fair_share+status_anx+econ_situation_th,
                    family = binomial(link = &quot;logit&quot;),
                    data = tm_rex)</code></pre>
<pre class="r"><code>modelsummary(
  list(&quot;Far-right (AfD)&quot; = m1_rex_afd,
       &quot;Ethnocentrism (AfD)&quot; = m1_ethno_afd,
       &quot;Neo-Nazi ideology (AfD)&quot; = m1_ns_afd,
       &quot;Far-right (BSW)&quot; = m1_rex_bsw, 
       &quot;Ethnocentrism (BSW)&quot; = m1_ethno_bsw, 
       &quot;Neo-Nazi ideology (BSW)&quot; = m1_ns_bsw
       ),
  exponentiate = T, # get OR
  stars = T,
  output = &quot;kableExtra&quot;,
  statistic = &quot;conf.int&quot;,
  gof_omit = &quot;RMSE|R2|Deviance|F&quot;,
  title = &quot;Table: Full logistic regression models predicting AfD and BSW vote choice with far-right attitudes, unweighted data (Odds Ratios)&quot;,
  coef_rename = coef_names
)</code></pre>
<table style="NAborder-bottom: 0; width: auto !important; margin-left: auto; margin-right: auto;" class="table">
<caption>
Table: Full logistic regression models predicting AfD and BSW vote
choice with far-right attitudes, unweighted data (Odds Ratios)
</caption>
<thead>
<tr>
<th style="text-align:left;">
</th>
<th style="text-align:center;">
Far-right (AfD)
</th>
<th style="text-align:center;">
Ethnocentrism (AfD)
</th>
<th style="text-align:center;">
Neo-Nazi ideology (AfD)
</th>
<th style="text-align:center;">
Far-right (BSW)
</th>
<th style="text-align:center;">
Ethnocentrism (BSW)
</th>
<th style="text-align:center;">
Neo-Nazi ideology (BSW)
</th>
</tr>
</thead>
<tbody>
<tr>
<td style="text-align:left;">
(Intercept)
</td>
<td style="text-align:center;">
0.000***
</td>
<td style="text-align:center;">
0.000***
</td>
<td style="text-align:center;">
0.000***
</td>
<td style="text-align:center;">
0.007***
</td>
<td style="text-align:center;">
0.007***
</td>
<td style="text-align:center;">
0.007***
</td>
</tr>
<tr>
<td style="text-align:left;">
</td>
<td style="text-align:center;">
[0.000, 0.000]
</td>
<td style="text-align:center;">
[0.000, 0.000]
</td>
<td style="text-align:center;">
[0.000, 0.000]
</td>
<td style="text-align:center;">
[0.002, 0.021]
</td>
<td style="text-align:center;">
[0.002, 0.020]
</td>
<td style="text-align:center;">
[0.002, 0.023]
</td>
</tr>
<tr>
<td style="text-align:left;">
Far-right attitudes
</td>
<td style="text-align:center;">
4.956***
</td>
<td style="text-align:center;">
</td>
<td style="text-align:center;">
</td>
<td style="text-align:center;">
0.903
</td>
<td style="text-align:center;">
</td>
<td style="text-align:center;">
</td>
</tr>
<tr>
<td style="text-align:left;">
</td>
<td style="text-align:center;">
[3.025, 8.326]
</td>
<td style="text-align:center;">
</td>
<td style="text-align:center;">
</td>
<td style="text-align:center;">
[0.592, 1.369]
</td>
<td style="text-align:center;">
</td>
<td style="text-align:center;">
</td>
</tr>
<tr>
<td style="text-align:left;">
Anti-feminism
</td>
<td style="text-align:center;">
1.295
</td>
<td style="text-align:center;">
1.304
</td>
<td style="text-align:center;">
1.422
</td>
<td style="text-align:center;">
0.565+
</td>
<td style="text-align:center;">
0.560+
</td>
<td style="text-align:center;">
0.564+
</td>
</tr>
<tr>
<td style="text-align:left;">
</td>
<td style="text-align:center;">
[0.761, 2.185]
</td>
<td style="text-align:center;">
[0.765, 2.201]
</td>
<td style="text-align:center;">
[0.843, 2.378]
</td>
<td style="text-align:center;">
[0.307, 0.992]
</td>
<td style="text-align:center;">
[0.305, 0.982]
</td>
<td style="text-align:center;">
[0.307, 0.988]
</td>
</tr>
<tr>
<td style="text-align:left;">
Anti-trans attitudes
</td>
<td style="text-align:center;">
1.653*
</td>
<td style="text-align:center;">
1.622+
</td>
<td style="text-align:center;">
2.080**
</td>
<td style="text-align:center;">
0.765
</td>
<td style="text-align:center;">
0.752
</td>
<td style="text-align:center;">
0.767
</td>
</tr>
<tr>
<td style="text-align:left;">
</td>
<td style="text-align:center;">
[1.010, 2.694]
</td>
<td style="text-align:center;">
[0.991, 2.642]
</td>
<td style="text-align:center;">
[1.295, 3.336]
</td>
<td style="text-align:center;">
[0.448, 1.274]
</td>
<td style="text-align:center;">
[0.441, 1.249]
</td>
<td style="text-align:center;">
[0.451, 1.270]
</td>
</tr>
<tr>
<td style="text-align:left;">
Second class (yes)
</td>
<td style="text-align:center;">
0.609+
</td>
<td style="text-align:center;">
0.599+
</td>
<td style="text-align:center;">
0.782
</td>
<td style="text-align:center;">
1.642*
</td>
<td style="text-align:center;">
1.629*
</td>
<td style="text-align:center;">
1.645*
</td>
</tr>
<tr>
<td style="text-align:left;">
</td>
<td style="text-align:center;">
[0.360, 1.018]
</td>
<td style="text-align:center;">
[0.353, 1.003]
</td>
<td style="text-align:center;">
[0.477, 1.275]
</td>
<td style="text-align:center;">
[1.085, 2.492]
</td>
<td style="text-align:center;">
[1.076, 2.471]
</td>
<td style="text-align:center;">
[1.088, 2.493]
</td>
</tr>
<tr>
<td style="text-align:left;">
Dissatisf. with democracy
</td>
<td style="text-align:center;">
5.263***
</td>
<td style="text-align:center;">
4.956***
</td>
<td style="text-align:center;">
5.440***
</td>
<td style="text-align:center;">
1.861**
</td>
<td style="text-align:center;">
1.854**
</td>
<td style="text-align:center;">
1.859**
</td>
</tr>
<tr>
<td style="text-align:left;">
</td>
<td style="text-align:center;">
[2.560, 11.832]
</td>
<td style="text-align:center;">
[2.419, 11.100]
</td>
<td style="text-align:center;">
[2.675, 12.108]
</td>
<td style="text-align:center;">
[1.173, 2.973]
</td>
<td style="text-align:center;">
[1.168, 2.961]
</td>
<td style="text-align:center;">
[1.172, 2.968]
</td>
</tr>
<tr>
<td style="text-align:left;">
Distrust
</td>
<td style="text-align:center;">
2.449***
</td>
<td style="text-align:center;">
2.306***
</td>
<td style="text-align:center;">
2.775***
</td>
<td style="text-align:center;">
1.399*
</td>
<td style="text-align:center;">
1.386*
</td>
<td style="text-align:center;">
1.394*
</td>
</tr>
<tr>
<td style="text-align:left;">
</td>
<td style="text-align:center;">
[1.763, 3.451]
</td>
<td style="text-align:center;">
[1.659, 3.249]
</td>
<td style="text-align:center;">
[2.014, 3.879]
</td>
<td style="text-align:center;">
[1.071, 1.835]
</td>
<td style="text-align:center;">
[1.060, 1.819]
</td>
<td style="text-align:center;">
[1.074, 1.816]
</td>
</tr>
<tr>
<td style="text-align:left;">
Place-based resentment
</td>
<td style="text-align:center;">
1.864**
</td>
<td style="text-align:center;">
1.736*
</td>
<td style="text-align:center;">
1.881**
</td>
<td style="text-align:center;">
1.156
</td>
<td style="text-align:center;">
1.153
</td>
<td style="text-align:center;">
1.146
</td>
</tr>
<tr>
<td style="text-align:left;">
</td>
<td style="text-align:center;">
[1.214, 2.906]
</td>
<td style="text-align:center;">
[1.133, 2.697]
</td>
<td style="text-align:center;">
[1.232, 2.922]
</td>
<td style="text-align:center;">
[0.834, 1.617]
</td>
<td style="text-align:center;">
[0.831, 1.616]
</td>
<td style="text-align:center;">
[0.828, 1.601]
</td>
</tr>
<tr>
<td style="text-align:left;">
Age
</td>
<td style="text-align:center;">
0.998
</td>
<td style="text-align:center;">
0.997
</td>
<td style="text-align:center;">
0.999
</td>
<td style="text-align:center;">
1.028***
</td>
<td style="text-align:center;">
1.028***
</td>
<td style="text-align:center;">
1.028***
</td>
</tr>
<tr>
<td style="text-align:left;">
</td>
<td style="text-align:center;">
[0.985, 1.012]
</td>
<td style="text-align:center;">
[0.983, 1.010]
</td>
<td style="text-align:center;">
[0.986, 1.013]
</td>
<td style="text-align:center;">
[1.016, 1.040]
</td>
<td style="text-align:center;">
[1.016, 1.040]
</td>
<td style="text-align:center;">
[1.016, 1.040]
</td>
</tr>
<tr>
<td style="text-align:left;">
Gender (female)
</td>
<td style="text-align:center;">
1.026
</td>
<td style="text-align:center;">
0.953
</td>
<td style="text-align:center;">
1.006
</td>
<td style="text-align:center;">
1.114
</td>
<td style="text-align:center;">
1.119
</td>
<td style="text-align:center;">
1.109
</td>
</tr>
<tr>
<td style="text-align:left;">
</td>
<td style="text-align:center;">
[0.628, 1.677]
</td>
<td style="text-align:center;">
[0.583, 1.555]
</td>
<td style="text-align:center;">
[0.624, 1.623]
</td>
<td style="text-align:center;">
[0.755, 1.645]
</td>
<td style="text-align:center;">
[0.759, 1.651]
</td>
<td style="text-align:center;">
[0.751, 1.638]
</td>
</tr>
<tr>
<td style="text-align:left;">
Education (no High school diploma)
</td>
<td style="text-align:center;">
1.436
</td>
<td style="text-align:center;">
1.618+
</td>
<td style="text-align:center;">
1.569+
</td>
<td style="text-align:center;">
0.675+
</td>
<td style="text-align:center;">
0.667+
</td>
<td style="text-align:center;">
0.679+
</td>
</tr>
<tr>
<td style="text-align:left;">
</td>
<td style="text-align:center;">
[0.877, 2.362]
</td>
<td style="text-align:center;">
[0.991, 2.661]
</td>
<td style="text-align:center;">
[0.969, 2.555]
</td>
<td style="text-align:center;">
[0.444, 1.018]
</td>
<td style="text-align:center;">
[0.440, 1.003]
</td>
<td style="text-align:center;">
[0.447, 1.023]
</td>
</tr>
<tr>
<td style="text-align:left;">
Indiv. financial situation (bad)
</td>
<td style="text-align:center;">
0.815
</td>
<td style="text-align:center;">
0.870
</td>
<td style="text-align:center;">
0.773
</td>
<td style="text-align:center;">
0.979
</td>
<td style="text-align:center;">
0.983
</td>
<td style="text-align:center;">
0.980
</td>
</tr>
<tr>
<td style="text-align:left;">
</td>
<td style="text-align:center;">
[0.456, 1.439]
</td>
<td style="text-align:center;">
[0.487, 1.539]
</td>
<td style="text-align:center;">
[0.441, 1.339]
</td>
<td style="text-align:center;">
[0.576, 1.636]
</td>
<td style="text-align:center;">
[0.578, 1.644]
</td>
<td style="text-align:center;">
[0.577, 1.636]
</td>
</tr>
<tr>
<td style="text-align:left;">
Unemployment
</td>
<td style="text-align:center;">
0.871
</td>
<td style="text-align:center;">
1.058
</td>
<td style="text-align:center;">
0.935
</td>
<td style="text-align:center;">
1.919
</td>
<td style="text-align:center;">
1.890
</td>
<td style="text-align:center;">
1.960
</td>
</tr>
<tr>
<td style="text-align:left;">
</td>
<td style="text-align:center;">
[0.130, 4.771]
</td>
<td style="text-align:center;">
[0.189, 5.264]
</td>
<td style="text-align:center;">
[0.156, 4.656]
</td>
<td style="text-align:center;">
[0.423, 6.314]
</td>
<td style="text-align:center;">
[0.417, 6.210]
</td>
<td style="text-align:center;">
[0.431, 6.475]
</td>
</tr>
<tr>
<td style="text-align:left;">
Manual worker
</td>
<td style="text-align:center;">
1.626
</td>
<td style="text-align:center;">
1.602
</td>
<td style="text-align:center;">
1.628
</td>
<td style="text-align:center;">
1.607
</td>
<td style="text-align:center;">
1.600
</td>
<td style="text-align:center;">
1.605
</td>
</tr>
<tr>
<td style="text-align:left;">
</td>
<td style="text-align:center;">
[0.853, 3.070]
</td>
<td style="text-align:center;">
[0.845, 3.014]
</td>
<td style="text-align:center;">
[0.868, 3.022]
</td>
<td style="text-align:center;">
[0.871, 2.852]
</td>
<td style="text-align:center;">
[0.867, 2.840]
</td>
<td style="text-align:center;">
[0.870, 2.845]
</td>
</tr>
<tr>
<td style="text-align:left;">
Econ. deprivation
</td>
<td style="text-align:center;">
0.613+
</td>
<td style="text-align:center;">
0.595*
</td>
<td style="text-align:center;">
0.647+
</td>
<td style="text-align:center;">
1.339
</td>
<td style="text-align:center;">
1.337
</td>
<td style="text-align:center;">
1.342
</td>
</tr>
<tr>
<td style="text-align:left;">
</td>
<td style="text-align:center;">
[0.368, 1.015]
</td>
<td style="text-align:center;">
[0.355, 0.987]
</td>
<td style="text-align:center;">
[0.394, 1.056]
</td>
<td style="text-align:center;">
[0.876, 2.045]
</td>
<td style="text-align:center;">
[0.875, 2.041]
</td>
<td style="text-align:center;">
[0.878, 2.051]
</td>
</tr>
<tr>
<td style="text-align:left;">
Status anxiety
</td>
<td style="text-align:center;">
0.721
</td>
<td style="text-align:center;">
0.754
</td>
<td style="text-align:center;">
0.888
</td>
<td style="text-align:center;">
0.650+
</td>
<td style="text-align:center;">
0.640+
</td>
<td style="text-align:center;">
0.655+
</td>
</tr>
<tr>
<td style="text-align:left;">
</td>
<td style="text-align:center;">
[0.424, 1.214]
</td>
<td style="text-align:center;">
[0.444, 1.268]
</td>
<td style="text-align:center;">
[0.535, 1.466]
</td>
<td style="text-align:center;">
[0.407, 1.029]
</td>
<td style="text-align:center;">
[0.401, 1.009]
</td>
<td style="text-align:center;">
[0.411, 1.034]
</td>
</tr>
<tr>
<td style="text-align:left;">
Economic situation Thuringia (bad)
</td>
<td style="text-align:center;">
1.666*
</td>
<td style="text-align:center;">
1.671*
</td>
<td style="text-align:center;">
1.531+
</td>
<td style="text-align:center;">
0.910
</td>
<td style="text-align:center;">
0.912
</td>
<td style="text-align:center;">
0.908
</td>
</tr>
<tr>
<td style="text-align:left;">
</td>
<td style="text-align:center;">
[1.028, 2.723]
</td>
<td style="text-align:center;">
[1.032, 2.727]
</td>
<td style="text-align:center;">
[0.956, 2.469]
</td>
<td style="text-align:center;">
[0.607, 1.359]
</td>
<td style="text-align:center;">
[0.610, 1.362]
</td>
<td style="text-align:center;">
[0.606, 1.356]
</td>
</tr>
<tr>
<td style="text-align:left;">
Ethnocentrism
</td>
<td style="text-align:center;">
</td>
<td style="text-align:center;">
4.299***
</td>
<td style="text-align:center;">
</td>
<td style="text-align:center;">
</td>
<td style="text-align:center;">
0.969
</td>
<td style="text-align:center;">
</td>
</tr>
<tr>
<td style="text-align:left;">
</td>
<td style="text-align:center;">
</td>
<td style="text-align:center;">
[2.805, 6.760]
</td>
<td style="text-align:center;">
</td>
<td style="text-align:center;">
</td>
<td style="text-align:center;">
[0.710, 1.321]
</td>
<td style="text-align:center;">
</td>
</tr>
<tr>
<td style="text-align:left;">
Neo-Nazi ideology
</td>
<td style="text-align:center;">
</td>
<td style="text-align:center;">
</td>
<td style="text-align:center;">
2.310***
</td>
<td style="text-align:center;">
</td>
<td style="text-align:center;">
</td>
<td style="text-align:center;">
0.865
</td>
</tr>
<tr>
<td style="text-align:left;box-shadow: 0px 1.5px">
</td>
<td style="text-align:center;box-shadow: 0px 1.5px">
</td>
<td style="text-align:center;box-shadow: 0px 1.5px">
</td>
<td style="text-align:center;box-shadow: 0px 1.5px">
[1.548, 3.484]
</td>
<td style="text-align:center;box-shadow: 0px 1.5px">
</td>
<td style="text-align:center;box-shadow: 0px 1.5px">
</td>
<td style="text-align:center;box-shadow: 0px 1.5px">
[0.562, 1.306]
</td>
</tr>
<tr>
<td style="text-align:left;">
Num.Obs.
</td>
<td style="text-align:center;">
1106
</td>
<td style="text-align:center;">
1106
</td>
<td style="text-align:center;">
1106
</td>
<td style="text-align:center;">
1106
</td>
<td style="text-align:center;">
1106
</td>
<td style="text-align:center;">
1106
</td>
</tr>
<tr>
<td style="text-align:left;">
AIC
</td>
<td style="text-align:center;">
535.3
</td>
<td style="text-align:center;">
529.0
</td>
<td style="text-align:center;">
562.1
</td>
<td style="text-align:center;">
798.4
</td>
<td style="text-align:center;">
798.5
</td>
<td style="text-align:center;">
798.1
</td>
</tr>
<tr>
<td style="text-align:left;">
BIC
</td>
<td style="text-align:center;">
620.4
</td>
<td style="text-align:center;">
614.1
</td>
<td style="text-align:center;">
647.2
</td>
<td style="text-align:center;">
883.5
</td>
<td style="text-align:center;">
883.7
</td>
<td style="text-align:center;">
883.3
</td>
</tr>
<tr>
<td style="text-align:left;">
Log.Lik.
</td>
<td style="text-align:center;">
−250.642
</td>
<td style="text-align:center;">
−247.493
</td>
<td style="text-align:center;">
−264.029
</td>
<td style="text-align:center;">
−382.180
</td>
<td style="text-align:center;">
−382.274
</td>
<td style="text-align:center;">
−382.061
</td>
</tr>
</tbody>
<tfoot>
<tr>
<td style="padding: 0; " colspan="100%">
<sup></sup> + p &lt; 0.1, * p &lt; 0.05, ** p &lt; 0.01, *** p &lt;
0.001
</td>
</tr>
</tfoot>
</table>
<p>Computing the full models using unweighted data, the results for
<strong>BSW are again consistent with what we found in the main
models</strong> presented in the manuscript. None of the three far-right
attitudes scales is associated with BSW support in the full models using
unweighted data.</p>
<p>In contrast, for the <strong>AfD, neo-Nazi ideology</strong> displays
a <strong>significant</strong> (rather than insignificant)
association.</p>
<p>To view model fit statistics, please set <code>eval = F</code>and
<code>echo = F</code>to <code>TRUE</code> in the markdown file.</p>
</div>
</div>
<div id="additional-robustness-checks-bsw-and-cultural-conservatism" class="section level2">
<h2>10 Additional Robustness Checks BSW and Cultural Conservatism</h2>
<p>In these additional robustness checks, we take a closer look at the
consistency of the non-significant association between voting for BSW
and cultural conservatism. We estimate 11 additional models for each
measure of cultural grievances: anti-immigrant attitudes, anti-feminism,
and anti-trans views.</p>
<p>These models include:</p>
<ul>
<li><p>simple bivariate models,</p></li>
<li><p>models with socio-demographic controls,</p></li>
<li><p>full models</p></li>
</ul>
<p>For each type, we run versions using both weighted and unweighted
data. Additionally, we test two approaches to handling missing data:</p>
<ul>
<li><p>One approach uses a reduced sample where all cases with missing
values were removed in advance (N = 975); like in the main
model</p></li>
<li><p>The other approach relies on R’s default handling of missing data
within the regression function</p></li>
</ul>
<div id="a-bsw-and-anti-immigrant-attitudes" class="section level3">
<h3>10a BSW and Anti-immigrant Attitudes</h3>
<pre class="r"><code># we do this with variables from main models 
tm &lt;- tm_all %&gt;% 
  select(alter, gender, edu_gr, lr, fin_sit, fair_share, status_anx, anti_immigration, anti_feminism, anti_trans, econ_situation_th, second_class, gdr, swd_gr, pol_distrust, RR, afd, bsw, persgew)

# data w/o NAs 
tm &lt;- tm %&gt;% 
  drop_na()

# Surveydesign object
tm_w &lt;- svydesign(id=~1, weights=~persgew, data = tm) # svydesign sample with all missings removed in advance, N=975
tm_all_w &lt;- svydesign(id=~1, weights=~persgew, data = tm_all) # svydesign all cases</code></pre>
<pre class="r"><code>## limited sample (N=975), all missings removed in advance
### bivariate
#### weighted svyglm
m1 &lt;- svyglm(bsw~anti_immigration,
            family = quasibinomial(link=&quot;logit&quot;),
            design = tm_w)

#### unweighted
m2 &lt;- glm(bsw~anti_immigration,
         family = binomial(link=&quot;logit&quot;),
         data = tm)

### socio-demographic controls
#### weighted svyglm
m3 &lt;- svyglm(bsw~anti_immigration+alter+gender+edu_gr+fin_sit+fair_share,
            family = quasibinomial(link=&quot;logit&quot;),
            design = tm_w)

#### unweighted
m4 &lt;- glm(bsw~anti_immigration+alter+gender+edu_gr+fin_sit+fair_share,
         family = binomial(link=&quot;logit&quot;),
         data = tm)

### full model
#### *weighted svyglm -&gt; main model!

#### unweighted
m5 &lt;- glm(bsw~anti_immigration+anti_feminism+anti_trans+second_class+gdr+swd_gr+pol_distrust+RR+alter+gender+edu_gr+fin_sit+fair_share+status_anx+econ_situation_th,
         family = binomial(link=&quot;logit&quot;),
         data = tm)


## full sample, missings get removed during regression
### bivariate
#### weighted svyglm
m6 &lt;- svyglm(bsw~anti_immigration,
            family = quasibinomial(link=&quot;logit&quot;),
            design = tm_all_w)

#### unweighted
m7 &lt;- glm(bsw~anti_immigration,
         family = binomial(link=&quot;logit&quot;),
         data = tm_all)

### socio-demographic controls
#### weighted svyglm
m8&lt;- svyglm(bsw~anti_immigration+alter+gender+edu_gr+fin_sit+fair_share,
            family = quasibinomial(link=&quot;logit&quot;),
            design = tm_all_w)

#### unweighted
m9 &lt;- glm(bsw~anti_immigration+alter+gender+edu_gr+fin_sit+fair_share,
         family = binomial(link=&quot;logit&quot;),
         data = tm_all)

### full model
#### weighted svyglm 
m10 &lt;- svyglm(bsw~anti_immigration+anti_feminism+anti_trans+second_class+gdr+swd_gr+pol_distrust+RR+alter+gender+edu_gr+fin_sit+fair_share+status_anx+econ_situation_th,
                family = quasibinomial(link=&quot;logit&quot;),
                design = tm_all_w)

#### unweighted
m11 &lt;- glm(bsw~anti_immigration+anti_feminism+anti_trans+second_class+gdr+swd_gr+pol_distrust+RR+alter+gender+edu_gr+fin_sit+fair_share+status_anx+econ_situation_th,
         family = binomial(link=&quot;logit&quot;),
         data = tm_all)</code></pre>
<pre class="r"><code>modelsummary(
  list(&quot;weighted&quot;=m1,
       &quot;unweighted&quot;=m2,
       &quot;weighted&quot;=m3,
       &quot;unweighted&quot;=m4,
       &quot;unweighted&quot;=m5,
       &quot;weighted&quot;=m6,
       &quot;unweighted&quot;=m7,
       &quot;weighted&quot;=m8,
       &quot;unweighted&quot;=m9,
       &quot;weighted&quot;=m10,
       &quot;unweighted&quot;=m11),
  exponentiate = T, # get OR
  stars = T,
  output = &quot;kableExtra&quot;,
  statistic = &quot;conf.int&quot;,
  gof_omit = &quot;RMSE|R2|Deviance|F|AIC|BIC|Log.Lik&quot;,
  title = &quot;Table: Logistic regression models predicting BSW vote choice with anti-immigrant attitudes (Odds Ratios)&quot;,
  coef_rename = coef_names
)</code></pre>
<table style="NAborder-bottom: 0; width: auto !important; margin-left: auto; margin-right: auto;" class="table">
<caption>
Table: Logistic regression models predicting BSW vote choice with
anti-immigrant attitudes (Odds Ratios)
</caption>
<thead>
<tr>
<th style="text-align:left;">
</th>
<th style="text-align:center;">
weighted
</th>
<th style="text-align:center;">
unweighted
</th>
<th style="text-align:center;">
weighted
</th>
<th style="text-align:center;">
unweighted
</th>
<th style="text-align:center;">
unweighted
</th>
<th style="text-align:center;">
weighted
</th>
<th style="text-align:center;">
unweighted
</th>
<th style="text-align:center;">
weighted
</th>
<th style="text-align:center;">
unweighted
</th>
<th style="text-align:center;">
weighted
</th>
<th style="text-align:center;">
unweighted
</th>
</tr>
</thead>
<tbody>
<tr>
<td style="text-align:left;">
(Intercept)
</td>
<td style="text-align:center;">
0.119***
</td>
<td style="text-align:center;">
0.064***
</td>
<td style="text-align:center;">
0.065***
</td>
<td style="text-align:center;">
0.018***
</td>
<td style="text-align:center;">
0.007***
</td>
<td style="text-align:center;">
0.104***
</td>
<td style="text-align:center;">
0.062***
</td>
<td style="text-align:center;">
0.090***
</td>
<td style="text-align:center;">
0.026***
</td>
<td style="text-align:center;">
0.060***
</td>
<td style="text-align:center;">
0.008***
</td>
</tr>
<tr>
<td style="text-align:left;">
</td>
<td style="text-align:center;">
[0.056, 0.253]
</td>
<td style="text-align:center;">
[0.035, 0.114]
</td>
<td style="text-align:center;">
[0.022, 0.189]
</td>
<td style="text-align:center;">
[0.008, 0.040]
</td>
<td style="text-align:center;">
[0.002, 0.022]
</td>
<td style="text-align:center;">
[0.056, 0.193]
</td>
<td style="text-align:center;">
[0.038, 0.099]
</td>
<td style="text-align:center;">
[0.039, 0.207]
</td>
<td style="text-align:center;">
[0.013, 0.050]
</td>
<td style="text-align:center;">
[0.012, 0.298]
</td>
<td style="text-align:center;">
[0.002, 0.025]
</td>
</tr>
<tr>
<td style="text-align:left;">
Anti-immigrant attitudes
</td>
<td style="text-align:center;">
1.067
</td>
<td style="text-align:center;">
1.378**
</td>
<td style="text-align:center;">
1.118
</td>
<td style="text-align:center;">
1.291+
</td>
<td style="text-align:center;">
0.910
</td>
<td style="text-align:center;">
1.105
</td>
<td style="text-align:center;">
1.418***
</td>
<td style="text-align:center;">
1.131
</td>
<td style="text-align:center;">
1.333**
</td>
<td style="text-align:center;">
0.741
</td>
<td style="text-align:center;">
0.929
</td>
</tr>
<tr>
<td style="text-align:left;">
</td>
<td style="text-align:center;">
[0.799, 1.426]
</td>
<td style="text-align:center;">
[1.096, 1.733]
</td>
<td style="text-align:center;">
[0.800, 1.561]
</td>
<td style="text-align:center;">
[0.997, 1.671]
</td>
<td style="text-align:center;">
[0.652, 1.270]
</td>
<td style="text-align:center;">
[0.875, 1.395]
</td>
<td style="text-align:center;">
[1.179, 1.705]
</td>
<td style="text-align:center;">
[0.863, 1.481]
</td>
<td style="text-align:center;">
[1.080, 1.644]
</td>
<td style="text-align:center;">
[0.458, 1.200]
</td>
<td style="text-align:center;">
[0.667, 1.293]
</td>
</tr>
<tr>
<td style="text-align:left;">
Age
</td>
<td style="text-align:center;">
</td>
<td style="text-align:center;">
</td>
<td style="text-align:center;">
1.014+
</td>
<td style="text-align:center;">
1.027***
</td>
<td style="text-align:center;">
1.025***
</td>
<td style="text-align:center;">
</td>
<td style="text-align:center;">
</td>
<td style="text-align:center;">
1.006
</td>
<td style="text-align:center;">
1.018***
</td>
<td style="text-align:center;">
1.014+
</td>
<td style="text-align:center;">
1.025***
</td>
</tr>
<tr>
<td style="text-align:left;">
</td>
<td style="text-align:center;">
</td>
<td style="text-align:center;">
</td>
<td style="text-align:center;">
[0.999, 1.029]
</td>
<td style="text-align:center;">
[1.016, 1.039]
</td>
<td style="text-align:center;">
[1.013, 1.038]
</td>
<td style="text-align:center;">
</td>
<td style="text-align:center;">
</td>
<td style="text-align:center;">
[0.995, 1.016]
</td>
<td style="text-align:center;">
[1.010, 1.027]
</td>
<td style="text-align:center;">
[0.999, 1.029]
</td>
<td style="text-align:center;">
[1.013, 1.037]
</td>
</tr>
<tr>
<td style="text-align:left;">
Gender (female)
</td>
<td style="text-align:center;">
</td>
<td style="text-align:center;">
</td>
<td style="text-align:center;">
0.984
</td>
<td style="text-align:center;">
1.077
</td>
<td style="text-align:center;">
0.947
</td>
<td style="text-align:center;">
</td>
<td style="text-align:center;">
</td>
<td style="text-align:center;">
1.119
</td>
<td style="text-align:center;">
1.175
</td>
<td style="text-align:center;">
0.968
</td>
<td style="text-align:center;">
0.986
</td>
</tr>
<tr>
<td style="text-align:left;">
</td>
<td style="text-align:center;">
</td>
<td style="text-align:center;">
</td>
<td style="text-align:center;">
[0.560, 1.729]
</td>
<td style="text-align:center;">
[0.724, 1.602]
</td>
<td style="text-align:center;">
[0.620, 1.446]
</td>
<td style="text-align:center;">
</td>
<td style="text-align:center;">
</td>
<td style="text-align:center;">
[0.717, 1.749]
</td>
<td style="text-align:center;">
[0.857, 1.613]
</td>
<td style="text-align:center;">
[0.548, 1.710]
</td>
<td style="text-align:center;">
[0.650, 1.495]
</td>
</tr>
<tr>
<td style="text-align:left;">
Education (no High school diploma)
</td>
<td style="text-align:center;">
</td>
<td style="text-align:center;">
</td>
<td style="text-align:center;">
0.561*
</td>
<td style="text-align:center;">
0.668+
</td>
<td style="text-align:center;">
0.565*
</td>
<td style="text-align:center;">
</td>
<td style="text-align:center;">
</td>
<td style="text-align:center;">
0.705
</td>
<td style="text-align:center;">
0.820
</td>
<td style="text-align:center;">
0.464**
</td>
<td style="text-align:center;">
0.541**
</td>
</tr>
<tr>
<td style="text-align:left;">
</td>
<td style="text-align:center;">
</td>
<td style="text-align:center;">
</td>
<td style="text-align:center;">
[0.318, 0.991]
</td>
<td style="text-align:center;">
[0.431, 1.026]
</td>
<td style="text-align:center;">
[0.358, 0.883]
</td>
<td style="text-align:center;">
</td>
<td style="text-align:center;">
</td>
<td style="text-align:center;">
[0.440, 1.130]
</td>
<td style="text-align:center;">
[0.580, 1.156]
</td>
<td style="text-align:center;">
[0.262, 0.821]
</td>
<td style="text-align:center;">
[0.344, 0.842]
</td>
</tr>
<tr>
<td style="text-align:left;">
Indiv. financial situation (bad)
</td>
<td style="text-align:center;">
</td>
<td style="text-align:center;">
</td>
<td style="text-align:center;">
0.673
</td>
<td style="text-align:center;">
1.283
</td>
<td style="text-align:center;">
1.173
</td>
<td style="text-align:center;">
</td>
<td style="text-align:center;">
</td>
<td style="text-align:center;">
0.814
</td>
<td style="text-align:center;">
1.096
</td>
<td style="text-align:center;">
0.556
</td>
<td style="text-align:center;">
1.162
</td>
</tr>
<tr>
<td style="text-align:left;">
</td>
<td style="text-align:center;">
</td>
<td style="text-align:center;">
</td>
<td style="text-align:center;">
[0.332, 1.364]
</td>
<td style="text-align:center;">
[0.752, 2.146]
</td>
<td style="text-align:center;">
[0.658, 2.057]
</td>
<td style="text-align:center;">
</td>
<td style="text-align:center;">
</td>
<td style="text-align:center;">
[0.455, 1.454]
</td>
<td style="text-align:center;">
[0.722, 1.643]
</td>
<td style="text-align:center;">
[0.253, 1.224]
</td>
<td style="text-align:center;">
[0.661, 2.012]
</td>
</tr>
<tr>
<td style="text-align:left;">
Econ. deprivation
</td>
<td style="text-align:center;">
</td>
<td style="text-align:center;">
</td>
<td style="text-align:center;">
1.349
</td>
<td style="text-align:center;">
1.384
</td>
<td style="text-align:center;">
1.044
</td>
<td style="text-align:center;">
</td>
<td style="text-align:center;">
</td>
<td style="text-align:center;">
1.072
</td>
<td style="text-align:center;">
1.312
</td>
<td style="text-align:center;">
1.027
</td>
<td style="text-align:center;">
1.073
</td>
</tr>
<tr>
<td style="text-align:left;">
</td>
<td style="text-align:center;">
</td>
<td style="text-align:center;">
</td>
<td style="text-align:center;">
[0.744, 2.446]
</td>
<td style="text-align:center;">
[0.894, 2.137]
</td>
<td style="text-align:center;">
[0.654, 1.663]
</td>
<td style="text-align:center;">
</td>
<td style="text-align:center;">
</td>
<td style="text-align:center;">
[0.648, 1.776]
</td>
<td style="text-align:center;">
[0.930, 1.852]
</td>
<td style="text-align:center;">
[0.561, 1.881]
</td>
<td style="text-align:center;">
[0.679, 1.693]
</td>
</tr>
<tr>
<td style="text-align:left;">
Anti-feminism
</td>
<td style="text-align:center;">
</td>
<td style="text-align:center;">
</td>
<td style="text-align:center;">
</td>
<td style="text-align:center;">
</td>
<td style="text-align:center;">
0.615
</td>
<td style="text-align:center;">
</td>
<td style="text-align:center;">
</td>
<td style="text-align:center;">
</td>
<td style="text-align:center;">
</td>
<td style="text-align:center;">
0.646
</td>
<td style="text-align:center;">
0.621
</td>
</tr>
<tr>
<td style="text-align:left;">
</td>
<td style="text-align:center;">
</td>
<td style="text-align:center;">
</td>
<td style="text-align:center;">
</td>
<td style="text-align:center;">
</td>
<td style="text-align:center;">
[0.321, 1.120]
</td>
<td style="text-align:center;">
</td>
<td style="text-align:center;">
</td>
<td style="text-align:center;">
</td>
<td style="text-align:center;">
</td>
<td style="text-align:center;">
[0.267, 1.562]
</td>
<td style="text-align:center;">
[0.330, 1.114]
</td>
</tr>
<tr>
<td style="text-align:left;">
Anti-trans attitudes
</td>
<td style="text-align:center;">
</td>
<td style="text-align:center;">
</td>
<td style="text-align:center;">
</td>
<td style="text-align:center;">
</td>
<td style="text-align:center;">
0.586+
</td>
<td style="text-align:center;">
</td>
<td style="text-align:center;">
</td>
<td style="text-align:center;">
</td>
<td style="text-align:center;">
</td>
<td style="text-align:center;">
0.806
</td>
<td style="text-align:center;">
0.589+
</td>
</tr>
<tr>
<td style="text-align:left;">
</td>
<td style="text-align:center;">
</td>
<td style="text-align:center;">
</td>
<td style="text-align:center;">
</td>
<td style="text-align:center;">
</td>
<td style="text-align:center;">
[0.323, 1.032]
</td>
<td style="text-align:center;">
</td>
<td style="text-align:center;">
</td>
<td style="text-align:center;">
</td>
<td style="text-align:center;">
</td>
<td style="text-align:center;">
[0.368, 1.766]
</td>
<td style="text-align:center;">
[0.326, 1.030]
</td>
</tr>
<tr>
<td style="text-align:left;">
Second class (yes)
</td>
<td style="text-align:center;">
</td>
<td style="text-align:center;">
</td>
<td style="text-align:center;">
</td>
<td style="text-align:center;">
</td>
<td style="text-align:center;">
1.514+
</td>
<td style="text-align:center;">
</td>
<td style="text-align:center;">
</td>
<td style="text-align:center;">
</td>
<td style="text-align:center;">
</td>
<td style="text-align:center;">
1.332
</td>
<td style="text-align:center;">
1.547+
</td>
</tr>
<tr>
<td style="text-align:left;">
</td>
<td style="text-align:center;">
</td>
<td style="text-align:center;">
</td>
<td style="text-align:center;">
</td>
<td style="text-align:center;">
</td>
<td style="text-align:center;">
[0.949, 2.420]
</td>
<td style="text-align:center;">
</td>
<td style="text-align:center;">
</td>
<td style="text-align:center;">
</td>
<td style="text-align:center;">
</td>
<td style="text-align:center;">
[0.657, 2.702]
</td>
<td style="text-align:center;">
[0.977, 2.455]
</td>
</tr>
<tr>
<td style="text-align:left;">
GDR nostalgia
</td>
<td style="text-align:center;">
</td>
<td style="text-align:center;">
</td>
<td style="text-align:center;">
</td>
<td style="text-align:center;">
</td>
<td style="text-align:center;">
1.928**
</td>
<td style="text-align:center;">
</td>
<td style="text-align:center;">
</td>
<td style="text-align:center;">
</td>
<td style="text-align:center;">
</td>
<td style="text-align:center;">
2.099*
</td>
<td style="text-align:center;">
1.889**
</td>
</tr>
<tr>
<td style="text-align:left;">
</td>
<td style="text-align:center;">
</td>
<td style="text-align:center;">
</td>
<td style="text-align:center;">
</td>
<td style="text-align:center;">
</td>
<td style="text-align:center;">
[1.203, 3.090]
</td>
<td style="text-align:center;">
</td>
<td style="text-align:center;">
</td>
<td style="text-align:center;">
</td>
<td style="text-align:center;">
</td>
<td style="text-align:center;">
[1.092, 4.034]
</td>
<td style="text-align:center;">
[1.185, 3.010]
</td>
</tr>
<tr>
<td style="text-align:left;">
Dissatisf. with democracy
</td>
<td style="text-align:center;">
</td>
<td style="text-align:center;">
</td>
<td style="text-align:center;">
</td>
<td style="text-align:center;">
</td>
<td style="text-align:center;">
2.002**
</td>
<td style="text-align:center;">
</td>
<td style="text-align:center;">
</td>
<td style="text-align:center;">
</td>
<td style="text-align:center;">
</td>
<td style="text-align:center;">
2.981**
</td>
<td style="text-align:center;">
1.999**
</td>
</tr>
<tr>
<td style="text-align:left;">
</td>
<td style="text-align:center;">
</td>
<td style="text-align:center;">
</td>
<td style="text-align:center;">
</td>
<td style="text-align:center;">
</td>
<td style="text-align:center;">
[1.199, 3.374]
</td>
<td style="text-align:center;">
</td>
<td style="text-align:center;">
</td>
<td style="text-align:center;">
</td>
<td style="text-align:center;">
</td>
<td style="text-align:center;">
[1.482, 5.998]
</td>
<td style="text-align:center;">
[1.206, 3.344]
</td>
</tr>
<tr>
<td style="text-align:left;">
Distrust
</td>
<td style="text-align:center;">
</td>
<td style="text-align:center;">
</td>
<td style="text-align:center;">
</td>
<td style="text-align:center;">
</td>
<td style="text-align:center;">
1.368*
</td>
<td style="text-align:center;">
</td>
<td style="text-align:center;">
</td>
<td style="text-align:center;">
</td>
<td style="text-align:center;">
</td>
<td style="text-align:center;">
1.109
</td>
<td style="text-align:center;">
1.364*
</td>
</tr>
<tr>
<td style="text-align:left;">
</td>
<td style="text-align:center;">
</td>
<td style="text-align:center;">
</td>
<td style="text-align:center;">
</td>
<td style="text-align:center;">
</td>
<td style="text-align:center;">
[1.024, 1.836]
</td>
<td style="text-align:center;">
</td>
<td style="text-align:center;">
</td>
<td style="text-align:center;">
</td>
<td style="text-align:center;">
</td>
<td style="text-align:center;">
[0.795, 1.547]
</td>
<td style="text-align:center;">
[1.025, 1.823]
</td>
</tr>
<tr>
<td style="text-align:left;">
Place-based resentment
</td>
<td style="text-align:center;">
</td>
<td style="text-align:center;">
</td>
<td style="text-align:center;">
</td>
<td style="text-align:center;">
</td>
<td style="text-align:center;">
1.222
</td>
<td style="text-align:center;">
</td>
<td style="text-align:center;">
</td>
<td style="text-align:center;">
</td>
<td style="text-align:center;">
</td>
<td style="text-align:center;">
1.030
</td>
<td style="text-align:center;">
1.158
</td>
</tr>
<tr>
<td style="text-align:left;">
</td>
<td style="text-align:center;">
</td>
<td style="text-align:center;">
</td>
<td style="text-align:center;">
</td>
<td style="text-align:center;">
</td>
<td style="text-align:center;">
[0.852, 1.778]
</td>
<td style="text-align:center;">
</td>
<td style="text-align:center;">
</td>
<td style="text-align:center;">
</td>
<td style="text-align:center;">
</td>
<td style="text-align:center;">
[0.643, 1.652]
</td>
<td style="text-align:center;">
[0.815, 1.665]
</td>
</tr>
<tr>
<td style="text-align:left;">
Status anxiety
</td>
<td style="text-align:center;">
</td>
<td style="text-align:center;">
</td>
<td style="text-align:center;">
</td>
<td style="text-align:center;">
</td>
<td style="text-align:center;">
0.687
</td>
<td style="text-align:center;">
</td>
<td style="text-align:center;">
</td>
<td style="text-align:center;">
</td>
<td style="text-align:center;">
</td>
<td style="text-align:center;">
0.827
</td>
<td style="text-align:center;">
0.679
</td>
</tr>
<tr>
<td style="text-align:left;">
</td>
<td style="text-align:center;">
</td>
<td style="text-align:center;">
</td>
<td style="text-align:center;">
</td>
<td style="text-align:center;">
</td>
<td style="text-align:center;">
[0.411, 1.136]
</td>
<td style="text-align:center;">
</td>
<td style="text-align:center;">
</td>
<td style="text-align:center;">
</td>
<td style="text-align:center;">
</td>
<td style="text-align:center;">
[0.395, 1.732]
</td>
<td style="text-align:center;">
[0.409, 1.115]
</td>
</tr>
<tr>
<td style="text-align:left;">
Economic situation Thuringia (bad)
</td>
<td style="text-align:center;">
</td>
<td style="text-align:center;">
</td>
<td style="text-align:center;">
</td>
<td style="text-align:center;">
</td>
<td style="text-align:center;">
1.087
</td>
<td style="text-align:center;">
</td>
<td style="text-align:center;">
</td>
<td style="text-align:center;">
</td>
<td style="text-align:center;">
</td>
<td style="text-align:center;">
1.034
</td>
<td style="text-align:center;">
1.020
</td>
</tr>
<tr>
<td style="text-align:left;box-shadow: 0px 1.5px">
</td>
<td style="text-align:center;box-shadow: 0px 1.5px">
</td>
<td style="text-align:center;box-shadow: 0px 1.5px">
</td>
<td style="text-align:center;box-shadow: 0px 1.5px">
</td>
<td style="text-align:center;box-shadow: 0px 1.5px">
</td>
<td style="text-align:center;box-shadow: 0px 1.5px">
[0.698, 1.693]
</td>
<td style="text-align:center;box-shadow: 0px 1.5px">
</td>
<td style="text-align:center;box-shadow: 0px 1.5px">
</td>
<td style="text-align:center;box-shadow: 0px 1.5px">
</td>
<td style="text-align:center;box-shadow: 0px 1.5px">
</td>
<td style="text-align:center;box-shadow: 0px 1.5px">
[0.537, 1.988]
</td>
<td style="text-align:center;box-shadow: 0px 1.5px">
[0.660, 1.577]
</td>
</tr>
<tr>
<td style="text-align:left;">
Num.Obs.
</td>
<td style="text-align:center;">
975
</td>
<td style="text-align:center;">
975
</td>
<td style="text-align:center;">
975
</td>
<td style="text-align:center;">
975
</td>
<td style="text-align:center;">
975
</td>
<td style="text-align:center;">
1518
</td>
<td style="text-align:center;">
1518
</td>
<td style="text-align:center;">
1455
</td>
<td style="text-align:center;">
1455
</td>
<td style="text-align:center;">
996
</td>
<td style="text-align:center;">
996
</td>
</tr>
</tbody>
<tfoot>
<tr>
<td style="padding: 0; " colspan="100%">
<sup></sup> + p &lt; 0.1, * p &lt; 0.05, ** p &lt; 0.01, *** p &lt;
0.001
</td>
</tr>
</tfoot>
</table>
<p><strong>Anti-immigrant views</strong> are <strong>positive</strong>
and significantly associated with BSW voting in 3 models, plus 1
additional model at the 90% confidence level. Hence, in total this
predictor is significant in 4/12 models (around 33%). This suggests that
the non-significant pattern found in the main model is somewhat less
consistent. However, in none of the 4 specifications of the full model
(including the main model) is this predictor significant.</p>
<p>Yet, the <strong>effect size (odds ratio) is consistently much
smaller than what we observe for the AfD</strong> (the OR never exceeds
1.5). The effect also becomes weaker when socio-demographic controls are
added, and the statistical significance disappears completely once all
variables are included. This could suggest an indirect effect of
anti-immigrant views via political dissatisfaction (i.e., anti-immigrant
views -&gt; dissatisfaction with democracy/politics -&gt; BSW vote).</p>
</div>
<div id="b-bsw-and-anti-feminism" class="section level3">
<h3>10b BSW and Anti-feminism</h3>
<pre class="r"><code>## bivariate
#### weighted svyglm
m1 &lt;- svyglm(bsw~anti_feminism,
            family = quasibinomial(link=&quot;logit&quot;),
            design = tm_w)

#### unweighted
m2 &lt;- glm(bsw~anti_feminism,
         family = binomial(link=&quot;logit&quot;),
         data = tm)

### socio-demographic controls
#### weighted svyglm
m3 &lt;- svyglm(bsw~anti_feminism+alter+gender+edu_gr+fin_sit+fair_share,
            family = quasibinomial(link=&quot;logit&quot;),
            design = tm_w)

#### unweighted
m4 &lt;- glm(bsw~anti_feminism+alter+gender+edu_gr+fin_sit+fair_share,
         family = binomial(link=&quot;logit&quot;),
         data = tm)

### full model
#### weighted svyglm -&gt; main model!

#### unweighted
m5 &lt;- glm(bsw~anti_immigration+anti_feminism+anti_trans+second_class+gdr+swd_gr+pol_distrust+RR+alter+gender+edu_gr+fin_sit+fair_share+status_anx+econ_situation_th,
         family = binomial(link=&quot;logit&quot;),
         data = tm)


## full sample, missings get removed during regression

### bivariate
#### weighted svyglm
m6 &lt;- svyglm(bsw~anti_feminism,
            family = quasibinomial(link=&quot;logit&quot;),
            design = tm_all_w)

#### unweighted
m7 &lt;- glm(bsw~anti_feminism,
         family = binomial(link=&quot;logit&quot;),
         data = tm_all)

### socio-demographic controls
#### weighted svyglm
m8 &lt;- svyglm(bsw~anti_feminism+alter+gender+edu_gr+fin_sit+fair_share,
            family = quasibinomial(link=&quot;logit&quot;),
            design = tm_all_w)

#### unweighted
m9 &lt;- glm(bsw~anti_feminism+alter+gender+edu_gr+fin_sit+fair_share,
         family = binomial(link=&quot;logit&quot;),
         data = tm_all)

### full model
#### *weighted svyglm 
m10 &lt;- svyglm(bsw~anti_immigration+anti_feminism+anti_trans+second_class+gdr+swd_gr+pol_distrust+RR+alter+gender+edu_gr+fin_sit+fair_share+status_anx+econ_situation_th,
            family = quasibinomial(link=&quot;logit&quot;),
            design = tm_all_w)

#### unweighted
m11 &lt;- glm(bsw~anti_immigration+anti_feminism+anti_trans+second_class+gdr+swd_gr+pol_distrust+RR+alter+gender+edu_gr+fin_sit+fair_share+status_anx+econ_situation_th,
         family = binomial(link=&quot;logit&quot;),
         data = tm_all)</code></pre>
<pre class="r"><code>modelsummary(
  list(&quot;weighted&quot;=m1,
       &quot;unweighted&quot;=m2,
       &quot;weighted&quot;=m3,
       &quot;unweighted&quot;=m4,
       &quot;unweighted&quot;=m5,
       &quot;weighted&quot;=m6,
       &quot;unweighted&quot;=m7,
       &quot;weighted&quot;=m8,
       &quot;unweighted&quot;=m9,
       &quot;weighted&quot;=m10,
       &quot;unweighted&quot;=m11),
  exponentiate = T, # get OR
  stars = T,
  output = &quot;kableExtra&quot;,
  statistic = &quot;conf.int&quot;,
  gof_omit = &quot;RMSE|R2|Deviance|F|AIC|BIC|Log.Lik&quot;,
  title = &quot;Table: Logistic regression models predicting BSW vote choice with anti-feminist attitudes (Odds Ratios)&quot;,
  coef_rename = coef_names
)</code></pre>
<table style="NAborder-bottom: 0; width: auto !important; margin-left: auto; margin-right: auto;" class="table">
<caption>
Table: Logistic regression models predicting BSW vote choice with
anti-feminist attitudes (Odds Ratios)
</caption>
<thead>
<tr>
<th style="text-align:left;">
</th>
<th style="text-align:center;">
weighted
</th>
<th style="text-align:center;">
unweighted
</th>
<th style="text-align:center;">
weighted
</th>
<th style="text-align:center;">
unweighted
</th>
<th style="text-align:center;">
unweighted
</th>
<th style="text-align:center;">
weighted
</th>
<th style="text-align:center;">
unweighted
</th>
<th style="text-align:center;">
weighted
</th>
<th style="text-align:center;">
unweighted
</th>
<th style="text-align:center;">
weighted
</th>
<th style="text-align:center;">
unweighted
</th>
</tr>
</thead>
<tbody>
<tr>
<td style="text-align:left;">
(Intercept)
</td>
<td style="text-align:center;">
0.146***
</td>
<td style="text-align:center;">
0.140***
</td>
<td style="text-align:center;">
0.082***
</td>
<td style="text-align:center;">
0.029***
</td>
<td style="text-align:center;">
0.007***
</td>
<td style="text-align:center;">
0.149***
</td>
<td style="text-align:center;">
0.151***
</td>
<td style="text-align:center;">
0.133***
</td>
<td style="text-align:center;">
0.053***
</td>
<td style="text-align:center;">
0.060***
</td>
<td style="text-align:center;">
0.008***
</td>
</tr>
<tr>
<td style="text-align:left;">
</td>
<td style="text-align:center;">
[0.109, 0.196]
</td>
<td style="text-align:center;">
[0.113, 0.171]
</td>
<td style="text-align:center;">
[0.037, 0.181]
</td>
<td style="text-align:center;">
[0.014, 0.056]
</td>
<td style="text-align:center;">
[0.002, 0.022]
</td>
<td style="text-align:center;">
[0.119, 0.186]
</td>
<td style="text-align:center;">
[0.128, 0.177]
</td>
<td style="text-align:center;">
[0.074, 0.240]
</td>
<td style="text-align:center;">
[0.031, 0.088]
</td>
<td style="text-align:center;">
[0.012, 0.298]
</td>
<td style="text-align:center;">
[0.002, 0.025]
</td>
</tr>
<tr>
<td style="text-align:left;">
Anti-feminism
</td>
<td style="text-align:center;">
0.763
</td>
<td style="text-align:center;">
0.841
</td>
<td style="text-align:center;">
0.863
</td>
<td style="text-align:center;">
0.869
</td>
<td style="text-align:center;">
0.615
</td>
<td style="text-align:center;">
0.676
</td>
<td style="text-align:center;">
0.787
</td>
<td style="text-align:center;">
0.725
</td>
<td style="text-align:center;">
0.741
</td>
<td style="text-align:center;">
0.646
</td>
<td style="text-align:center;">
0.621
</td>
</tr>
<tr>
<td style="text-align:left;">
</td>
<td style="text-align:center;">
[0.357, 1.631]
</td>
<td style="text-align:center;">
[0.465, 1.432]
</td>
<td style="text-align:center;">
[0.392, 1.899]
</td>
<td style="text-align:center;">
[0.471, 1.518]
</td>
<td style="text-align:center;">
[0.321, 1.120]
</td>
<td style="text-align:center;">
[0.358, 1.277]
</td>
<td style="text-align:center;">
[0.489, 1.214]
</td>
<td style="text-align:center;">
[0.373, 1.407]
</td>
<td style="text-align:center;">
[0.446, 1.182]
</td>
<td style="text-align:center;">
[0.267, 1.562]
</td>
<td style="text-align:center;">
[0.330, 1.114]
</td>
</tr>
<tr>
<td style="text-align:left;">
Age
</td>
<td style="text-align:center;">
</td>
<td style="text-align:center;">
</td>
<td style="text-align:center;">
1.015+
</td>
<td style="text-align:center;">
1.028***
</td>
<td style="text-align:center;">
1.025***
</td>
<td style="text-align:center;">
</td>
<td style="text-align:center;">
</td>
<td style="text-align:center;">
1.005
</td>
<td style="text-align:center;">
1.019***
</td>
<td style="text-align:center;">
1.014+
</td>
<td style="text-align:center;">
1.025***
</td>
</tr>
<tr>
<td style="text-align:left;">
</td>
<td style="text-align:center;">
</td>
<td style="text-align:center;">
</td>
<td style="text-align:center;">
[0.999, 1.030]
</td>
<td style="text-align:center;">
[1.017, 1.040]
</td>
<td style="text-align:center;">
[1.013, 1.038]
</td>
<td style="text-align:center;">
</td>
<td style="text-align:center;">
</td>
<td style="text-align:center;">
[0.994, 1.016]
</td>
<td style="text-align:center;">
[1.010, 1.027]
</td>
<td style="text-align:center;">
[0.999, 1.029]
</td>
<td style="text-align:center;">
[1.013, 1.037]
</td>
</tr>
<tr>
<td style="text-align:left;">
Gender (female)
</td>
<td style="text-align:center;">
</td>
<td style="text-align:center;">
</td>
<td style="text-align:center;">
0.975
</td>
<td style="text-align:center;">
1.034
</td>
<td style="text-align:center;">
0.947
</td>
<td style="text-align:center;">
</td>
<td style="text-align:center;">
</td>
<td style="text-align:center;">
1.011
</td>
<td style="text-align:center;">
1.028
</td>
<td style="text-align:center;">
0.968
</td>
<td style="text-align:center;">
0.986
</td>
</tr>
<tr>
<td style="text-align:left;">
</td>
<td style="text-align:center;">
</td>
<td style="text-align:center;">
</td>
<td style="text-align:center;">
[0.557, 1.706]
</td>
<td style="text-align:center;">
[0.694, 1.540]
</td>
<td style="text-align:center;">
[0.620, 1.446]
</td>
<td style="text-align:center;">
</td>
<td style="text-align:center;">
</td>
<td style="text-align:center;">
[0.651, 1.570]
</td>
<td style="text-align:center;">
[0.752, 1.405]
</td>
<td style="text-align:center;">
[0.548, 1.710]
</td>
<td style="text-align:center;">
[0.650, 1.495]
</td>
</tr>
<tr>
<td style="text-align:left;">
Education (no High school diploma)
</td>
<td style="text-align:center;">
</td>
<td style="text-align:center;">
</td>
<td style="text-align:center;">
0.589+
</td>
<td style="text-align:center;">
0.746
</td>
<td style="text-align:center;">
0.565*
</td>
<td style="text-align:center;">
</td>
<td style="text-align:center;">
</td>
<td style="text-align:center;">
0.826
</td>
<td style="text-align:center;">
0.955
</td>
<td style="text-align:center;">
0.464**
</td>
<td style="text-align:center;">
0.541**
</td>
</tr>
<tr>
<td style="text-align:left;">
</td>
<td style="text-align:center;">
</td>
<td style="text-align:center;">
</td>
<td style="text-align:center;">
[0.342, 1.013]
</td>
<td style="text-align:center;">
[0.487, 1.134]
</td>
<td style="text-align:center;">
[0.358, 0.883]
</td>
<td style="text-align:center;">
</td>
<td style="text-align:center;">
</td>
<td style="text-align:center;">
[0.533, 1.281]
</td>
<td style="text-align:center;">
[0.688, 1.322]
</td>
<td style="text-align:center;">
[0.262, 0.821]
</td>
<td style="text-align:center;">
[0.344, 0.842]
</td>
</tr>
<tr>
<td style="text-align:left;">
Indiv. financial situation (bad)
</td>
<td style="text-align:center;">
</td>
<td style="text-align:center;">
</td>
<td style="text-align:center;">
0.697
</td>
<td style="text-align:center;">
1.348
</td>
<td style="text-align:center;">
1.173
</td>
<td style="text-align:center;">
</td>
<td style="text-align:center;">
</td>
<td style="text-align:center;">
0.863
</td>
<td style="text-align:center;">
1.211
</td>
<td style="text-align:center;">
0.556
</td>
<td style="text-align:center;">
1.162
</td>
</tr>
<tr>
<td style="text-align:left;">
</td>
<td style="text-align:center;">
</td>
<td style="text-align:center;">
</td>
<td style="text-align:center;">
[0.343, 1.416]
</td>
<td style="text-align:center;">
[0.793, 2.246]
</td>
<td style="text-align:center;">
[0.658, 2.057]
</td>
<td style="text-align:center;">
</td>
<td style="text-align:center;">
</td>
<td style="text-align:center;">
[0.488, 1.524]
</td>
<td style="text-align:center;">
[0.803, 1.802]
</td>
<td style="text-align:center;">
[0.253, 1.224]
</td>
<td style="text-align:center;">
[0.661, 2.012]
</td>
</tr>
<tr>
<td style="text-align:left;">
Econ. deprivation
</td>
<td style="text-align:center;">
</td>
<td style="text-align:center;">
</td>
<td style="text-align:center;">
1.380
</td>
<td style="text-align:center;">
1.495+
</td>
<td style="text-align:center;">
1.044
</td>
<td style="text-align:center;">
</td>
<td style="text-align:center;">
</td>
<td style="text-align:center;">
1.072
</td>
<td style="text-align:center;">
1.368+
</td>
<td style="text-align:center;">
1.027
</td>
<td style="text-align:center;">
1.073
</td>
</tr>
<tr>
<td style="text-align:left;">
</td>
<td style="text-align:center;">
</td>
<td style="text-align:center;">
</td>
<td style="text-align:center;">
[0.774, 2.461]
</td>
<td style="text-align:center;">
[0.976, 2.289]
</td>
<td style="text-align:center;">
[0.654, 1.663]
</td>
<td style="text-align:center;">
</td>
<td style="text-align:center;">
</td>
<td style="text-align:center;">
[0.661, 1.739]
</td>
<td style="text-align:center;">
[0.982, 1.905]
</td>
<td style="text-align:center;">
[0.561, 1.881]
</td>
<td style="text-align:center;">
[0.679, 1.693]
</td>
</tr>
<tr>
<td style="text-align:left;">
Anti-immigrant attitudes
</td>
<td style="text-align:center;">
</td>
<td style="text-align:center;">
</td>
<td style="text-align:center;">
</td>
<td style="text-align:center;">
</td>
<td style="text-align:center;">
0.910
</td>
<td style="text-align:center;">
</td>
<td style="text-align:center;">
</td>
<td style="text-align:center;">
</td>
<td style="text-align:center;">
</td>
<td style="text-align:center;">
0.741
</td>
<td style="text-align:center;">
0.929
</td>
</tr>
<tr>
<td style="text-align:left;">
</td>
<td style="text-align:center;">
</td>
<td style="text-align:center;">
</td>
<td style="text-align:center;">
</td>
<td style="text-align:center;">
</td>
<td style="text-align:center;">
[0.652, 1.270]
</td>
<td style="text-align:center;">
</td>
<td style="text-align:center;">
</td>
<td style="text-align:center;">
</td>
<td style="text-align:center;">
</td>
<td style="text-align:center;">
[0.458, 1.200]
</td>
<td style="text-align:center;">
[0.667, 1.293]
</td>
</tr>
<tr>
<td style="text-align:left;">
Anti-trans attitudes
</td>
<td style="text-align:center;">
</td>
<td style="text-align:center;">
</td>
<td style="text-align:center;">
</td>
<td style="text-align:center;">
</td>
<td style="text-align:center;">
0.586+
</td>
<td style="text-align:center;">
</td>
<td style="text-align:center;">
</td>
<td style="text-align:center;">
</td>
<td style="text-align:center;">
</td>
<td style="text-align:center;">
0.806
</td>
<td style="text-align:center;">
0.589+
</td>
</tr>
<tr>
<td style="text-align:left;">
</td>
<td style="text-align:center;">
</td>
<td style="text-align:center;">
</td>
<td style="text-align:center;">
</td>
<td style="text-align:center;">
</td>
<td style="text-align:center;">
[0.323, 1.032]
</td>
<td style="text-align:center;">
</td>
<td style="text-align:center;">
</td>
<td style="text-align:center;">
</td>
<td style="text-align:center;">
</td>
<td style="text-align:center;">
[0.368, 1.766]
</td>
<td style="text-align:center;">
[0.326, 1.030]
</td>
</tr>
<tr>
<td style="text-align:left;">
Second class (yes)
</td>
<td style="text-align:center;">
</td>
<td style="text-align:center;">
</td>
<td style="text-align:center;">
</td>
<td style="text-align:center;">
</td>
<td style="text-align:center;">
1.514+
</td>
<td style="text-align:center;">
</td>
<td style="text-align:center;">
</td>
<td style="text-align:center;">
</td>
<td style="text-align:center;">
</td>
<td style="text-align:center;">
1.332
</td>
<td style="text-align:center;">
1.547+
</td>
</tr>
<tr>
<td style="text-align:left;">
</td>
<td style="text-align:center;">
</td>
<td style="text-align:center;">
</td>
<td style="text-align:center;">
</td>
<td style="text-align:center;">
</td>
<td style="text-align:center;">
[0.949, 2.420]
</td>
<td style="text-align:center;">
</td>
<td style="text-align:center;">
</td>
<td style="text-align:center;">
</td>
<td style="text-align:center;">
</td>
<td style="text-align:center;">
[0.657, 2.702]
</td>
<td style="text-align:center;">
[0.977, 2.455]
</td>
</tr>
<tr>
<td style="text-align:left;">
GDR nostalgia
</td>
<td style="text-align:center;">
</td>
<td style="text-align:center;">
</td>
<td style="text-align:center;">
</td>
<td style="text-align:center;">
</td>
<td style="text-align:center;">
1.928**
</td>
<td style="text-align:center;">
</td>
<td style="text-align:center;">
</td>
<td style="text-align:center;">
</td>
<td style="text-align:center;">
</td>
<td style="text-align:center;">
2.099*
</td>
<td style="text-align:center;">
1.889**
</td>
</tr>
<tr>
<td style="text-align:left;">
</td>
<td style="text-align:center;">
</td>
<td style="text-align:center;">
</td>
<td style="text-align:center;">
</td>
<td style="text-align:center;">
</td>
<td style="text-align:center;">
[1.203, 3.090]
</td>
<td style="text-align:center;">
</td>
<td style="text-align:center;">
</td>
<td style="text-align:center;">
</td>
<td style="text-align:center;">
</td>
<td style="text-align:center;">
[1.092, 4.034]
</td>
<td style="text-align:center;">
[1.185, 3.010]
</td>
</tr>
<tr>
<td style="text-align:left;">
Dissatisf. with democracy
</td>
<td style="text-align:center;">
</td>
<td style="text-align:center;">
</td>
<td style="text-align:center;">
</td>
<td style="text-align:center;">
</td>
<td style="text-align:center;">
2.002**
</td>
<td style="text-align:center;">
</td>
<td style="text-align:center;">
</td>
<td style="text-align:center;">
</td>
<td style="text-align:center;">
</td>
<td style="text-align:center;">
2.981**
</td>
<td style="text-align:center;">
1.999**
</td>
</tr>
<tr>
<td style="text-align:left;">
</td>
<td style="text-align:center;">
</td>
<td style="text-align:center;">
</td>
<td style="text-align:center;">
</td>
<td style="text-align:center;">
</td>
<td style="text-align:center;">
[1.199, 3.374]
</td>
<td style="text-align:center;">
</td>
<td style="text-align:center;">
</td>
<td style="text-align:center;">
</td>
<td style="text-align:center;">
</td>
<td style="text-align:center;">
[1.482, 5.998]
</td>
<td style="text-align:center;">
[1.206, 3.344]
</td>
</tr>
<tr>
<td style="text-align:left;">
Distrust
</td>
<td style="text-align:center;">
</td>
<td style="text-align:center;">
</td>
<td style="text-align:center;">
</td>
<td style="text-align:center;">
</td>
<td style="text-align:center;">
1.368*
</td>
<td style="text-align:center;">
</td>
<td style="text-align:center;">
</td>
<td style="text-align:center;">
</td>
<td style="text-align:center;">
</td>
<td style="text-align:center;">
1.109
</td>
<td style="text-align:center;">
1.364*
</td>
</tr>
<tr>
<td style="text-align:left;">
</td>
<td style="text-align:center;">
</td>
<td style="text-align:center;">
</td>
<td style="text-align:center;">
</td>
<td style="text-align:center;">
</td>
<td style="text-align:center;">
[1.024, 1.836]
</td>
<td style="text-align:center;">
</td>
<td style="text-align:center;">
</td>
<td style="text-align:center;">
</td>
<td style="text-align:center;">
</td>
<td style="text-align:center;">
[0.795, 1.547]
</td>
<td style="text-align:center;">
[1.025, 1.823]
</td>
</tr>
<tr>
<td style="text-align:left;">
Place-based resentment
</td>
<td style="text-align:center;">
</td>
<td style="text-align:center;">
</td>
<td style="text-align:center;">
</td>
<td style="text-align:center;">
</td>
<td style="text-align:center;">
1.222
</td>
<td style="text-align:center;">
</td>
<td style="text-align:center;">
</td>
<td style="text-align:center;">
</td>
<td style="text-align:center;">
</td>
<td style="text-align:center;">
1.030
</td>
<td style="text-align:center;">
1.158
</td>
</tr>
<tr>
<td style="text-align:left;">
</td>
<td style="text-align:center;">
</td>
<td style="text-align:center;">
</td>
<td style="text-align:center;">
</td>
<td style="text-align:center;">
</td>
<td style="text-align:center;">
[0.852, 1.778]
</td>
<td style="text-align:center;">
</td>
<td style="text-align:center;">
</td>
<td style="text-align:center;">
</td>
<td style="text-align:center;">
</td>
<td style="text-align:center;">
[0.643, 1.652]
</td>
<td style="text-align:center;">
[0.815, 1.665]
</td>
</tr>
<tr>
<td style="text-align:left;">
Status anxiety
</td>
<td style="text-align:center;">
</td>
<td style="text-align:center;">
</td>
<td style="text-align:center;">
</td>
<td style="text-align:center;">
</td>
<td style="text-align:center;">
0.687
</td>
<td style="text-align:center;">
</td>
<td style="text-align:center;">
</td>
<td style="text-align:center;">
</td>
<td style="text-align:center;">
</td>
<td style="text-align:center;">
0.827
</td>
<td style="text-align:center;">
0.679
</td>
</tr>
<tr>
<td style="text-align:left;">
</td>
<td style="text-align:center;">
</td>
<td style="text-align:center;">
</td>
<td style="text-align:center;">
</td>
<td style="text-align:center;">
</td>
<td style="text-align:center;">
[0.411, 1.136]
</td>
<td style="text-align:center;">
</td>
<td style="text-align:center;">
</td>
<td style="text-align:center;">
</td>
<td style="text-align:center;">
</td>
<td style="text-align:center;">
[0.395, 1.732]
</td>
<td style="text-align:center;">
[0.409, 1.115]
</td>
</tr>
<tr>
<td style="text-align:left;">
Economic situation Thuringia (bad)
</td>
<td style="text-align:center;">
</td>
<td style="text-align:center;">
</td>
<td style="text-align:center;">
</td>
<td style="text-align:center;">
</td>
<td style="text-align:center;">
1.087
</td>
<td style="text-align:center;">
</td>
<td style="text-align:center;">
</td>
<td style="text-align:center;">
</td>
<td style="text-align:center;">
</td>
<td style="text-align:center;">
1.034
</td>
<td style="text-align:center;">
1.020
</td>
</tr>
<tr>
<td style="text-align:left;box-shadow: 0px 1.5px">
</td>
<td style="text-align:center;box-shadow: 0px 1.5px">
</td>
<td style="text-align:center;box-shadow: 0px 1.5px">
</td>
<td style="text-align:center;box-shadow: 0px 1.5px">
</td>
<td style="text-align:center;box-shadow: 0px 1.5px">
</td>
<td style="text-align:center;box-shadow: 0px 1.5px">
[0.698, 1.693]
</td>
<td style="text-align:center;box-shadow: 0px 1.5px">
</td>
<td style="text-align:center;box-shadow: 0px 1.5px">
</td>
<td style="text-align:center;box-shadow: 0px 1.5px">
</td>
<td style="text-align:center;box-shadow: 0px 1.5px">
</td>
<td style="text-align:center;box-shadow: 0px 1.5px">
[0.537, 1.988]
</td>
<td style="text-align:center;box-shadow: 0px 1.5px">
[0.660, 1.577]
</td>
</tr>
<tr>
<td style="text-align:left;">
Num.Obs.
</td>
<td style="text-align:center;">
975
</td>
<td style="text-align:center;">
975
</td>
<td style="text-align:center;">
975
</td>
<td style="text-align:center;">
975
</td>
<td style="text-align:center;">
975
</td>
<td style="text-align:center;">
1529
</td>
<td style="text-align:center;">
1529
</td>
<td style="text-align:center;">
1462
</td>
<td style="text-align:center;">
1462
</td>
<td style="text-align:center;">
996
</td>
<td style="text-align:center;">
996
</td>
</tr>
</tbody>
<tfoot>
<tr>
<td style="padding: 0; " colspan="100%">
<sup></sup> + p &lt; 0.1, * p &lt; 0.05, ** p &lt; 0.01, *** p &lt;
0.001
</td>
</tr>
</tfoot>
</table>
</div>
<div id="c-bsw-and-anti-trans-attitudes" class="section level3">
<h3>10c BSW and Anti-trans Attitudes</h3>
<pre class="r"><code>### bivariate
#### weighted svyglm
m1 &lt;- svyglm(bsw~anti_trans,
            family = quasibinomial(link=&quot;logit&quot;),
            design = tm_w)

#### unweighted
m2 &lt;- glm(bsw~anti_trans,
         family = binomial(link=&quot;logit&quot;),
         data = tm)

### socio-demographic controls
#### weighted svyglm
m3 &lt;- svyglm(bsw~anti_trans+alter+gender+edu_gr+fin_sit+fair_share,
            family = quasibinomial(link=&quot;logit&quot;),
            design = tm_w)

#### unweighted
m4 &lt;- glm(bsw~anti_trans+alter+gender+edu_gr+fin_sit+fair_share,
         family = binomial(link=&quot;logit&quot;),
         data = tm)

### full model
#### weighted svyglm -&gt; main model!

#### unweighted
m5 &lt;- glm(bsw~anti_immigration+anti_feminism+anti_trans+second_class+gdr+swd_gr+pol_distrust+RR+alter+gender+edu_gr+fin_sit+fair_share+status_anx+econ_situation_th,
         family = binomial(link=&quot;logit&quot;),
         data = tm)


## full sample, missings get removed during regression

### bivariate
#### weighted svyglm
m6 &lt;- svyglm(bsw~anti_trans,
            family = quasibinomial(link=&quot;logit&quot;),
            design = tm_all_w)

#### unweighted
m7 &lt;- glm(bsw~anti_trans,
         family = binomial(link=&quot;logit&quot;),
         data = tm_all)

### socio-demographic controls
#### weighted svyglm
m8 &lt;- svyglm(bsw~anti_trans+alter+gender+edu_gr+fin_sit+fair_share,
            family = quasibinomial(link=&quot;logit&quot;),
            design = tm_all_w)

#### unweighted
m9 &lt;- glm(bsw~anti_trans+alter+gender+edu_gr+fin_sit+fair_share,
         family = binomial(link=&quot;logit&quot;),
         data = tm_all)

### full model
#### weighted svyglm 
m10 &lt;- svyglm(bsw~anti_immigration+anti_feminism+anti_trans+second_class+gdr+swd_gr+pol_distrust+RR+alter+gender+edu_gr+fin_sit+fair_share+status_anx+econ_situation_th,
            family = quasibinomial(link=&quot;logit&quot;),
            design = tm_all_w)

#### unweighted
m11 &lt;- glm(bsw~anti_immigration+anti_feminism+anti_trans+second_class+gdr+swd_gr+pol_distrust+RR+alter+gender+edu_gr+fin_sit+fair_share+status_anx+econ_situation_th,
         family = binomial(link=&quot;logit&quot;),
         data = tm_all)</code></pre>
<pre class="r"><code>modelsummary(
  list(&quot;weighted&quot;=m1,
       &quot;unweighted&quot;=m2,
       &quot;weighted&quot;=m3,
       &quot;unweighted&quot;=m4,
       &quot;unweighted&quot;=m5,
       &quot;weighted&quot;=m6,
       &quot;unweighted&quot;=m7,
       &quot;weighted&quot;=m8,
       &quot;unweighted&quot;=m9,
       &quot;weighted&quot;=m10,
       &quot;unweighted&quot;=m11),
  exponentiate = T, # get OR
  stars = T,
  output = &quot;kableExtra&quot;,
  statistic = &quot;conf.int&quot;,
  gof_omit = &quot;RMSE|R2|Deviance|F|AIC|BIC|Log.Lik&quot;,
  title = &quot;Table: Logistic regression models predicting BSW vote choice with anti-trans attitudes (Odds Ratios)&quot;,
  coef_rename = coef_names
)</code></pre>
<table style="NAborder-bottom: 0; width: auto !important; margin-left: auto; margin-right: auto;" class="table">
<caption>
Table: Logistic regression models predicting BSW vote choice with
anti-trans attitudes (Odds Ratios)
</caption>
<thead>
<tr>
<th style="text-align:left;">
</th>
<th style="text-align:center;">
weighted
</th>
<th style="text-align:center;">
unweighted
</th>
<th style="text-align:center;">
weighted
</th>
<th style="text-align:center;">
unweighted
</th>
<th style="text-align:center;">
unweighted
</th>
<th style="text-align:center;">
weighted
</th>
<th style="text-align:center;">
unweighted
</th>
<th style="text-align:center;">
weighted
</th>
<th style="text-align:center;">
unweighted
</th>
<th style="text-align:center;">
weighted
</th>
<th style="text-align:center;">
unweighted
</th>
</tr>
</thead>
<tbody>
<tr>
<td style="text-align:left;">
(Intercept)
</td>
<td style="text-align:center;">
0.144***
</td>
<td style="text-align:center;">
0.138***
</td>
<td style="text-align:center;">
0.079***
</td>
<td style="text-align:center;">
0.029***
</td>
<td style="text-align:center;">
0.007***
</td>
<td style="text-align:center;">
0.145***
</td>
<td style="text-align:center;">
0.146***
</td>
<td style="text-align:center;">
0.111***
</td>
<td style="text-align:center;">
0.044***
</td>
<td style="text-align:center;">
0.060***
</td>
<td style="text-align:center;">
0.008***
</td>
</tr>
<tr>
<td style="text-align:left;">
</td>
<td style="text-align:center;">
[0.106, 0.194]
</td>
<td style="text-align:center;">
[0.111, 0.170]
</td>
<td style="text-align:center;">
[0.035, 0.179]
</td>
<td style="text-align:center;">
[0.014, 0.055]
</td>
<td style="text-align:center;">
[0.002, 0.022]
</td>
<td style="text-align:center;">
[0.115, 0.183]
</td>
<td style="text-align:center;">
[0.124, 0.172]
</td>
<td style="text-align:center;">
[0.062, 0.201]
</td>
<td style="text-align:center;">
[0.026, 0.074]
</td>
<td style="text-align:center;">
[0.012, 0.298]
</td>
<td style="text-align:center;">
[0.002, 0.025]
</td>
</tr>
<tr>
<td style="text-align:left;">
Anti-trans attitudes
</td>
<td style="text-align:center;">
0.882
</td>
<td style="text-align:center;">
0.933
</td>
<td style="text-align:center;">
0.838
</td>
<td style="text-align:center;">
0.793
</td>
<td style="text-align:center;">
0.586+
</td>
<td style="text-align:center;">
0.917
</td>
<td style="text-align:center;">
0.960
</td>
<td style="text-align:center;">
0.967
</td>
<td style="text-align:center;">
0.877
</td>
<td style="text-align:center;">
0.806
</td>
<td style="text-align:center;">
0.589+
</td>
</tr>
<tr>
<td style="text-align:left;">
</td>
<td style="text-align:center;">
[0.450, 1.728]
</td>
<td style="text-align:center;">
[0.552, 1.513]
</td>
<td style="text-align:center;">
[0.435, 1.614]
</td>
<td style="text-align:center;">
[0.454, 1.331]
</td>
<td style="text-align:center;">
[0.323, 1.032]
</td>
<td style="text-align:center;">
[0.543, 1.550]
</td>
<td style="text-align:center;">
[0.634, 1.416]
</td>
<td style="text-align:center;">
[0.567, 1.649]
</td>
<td style="text-align:center;">
[0.566, 1.326]
</td>
<td style="text-align:center;">
[0.368, 1.766]
</td>
<td style="text-align:center;">
[0.326, 1.030]
</td>
</tr>
<tr>
<td style="text-align:left;">
Age
</td>
<td style="text-align:center;">
</td>
<td style="text-align:center;">
</td>
<td style="text-align:center;">
1.015*
</td>
<td style="text-align:center;">
1.029***
</td>
<td style="text-align:center;">
1.025***
</td>
<td style="text-align:center;">
</td>
<td style="text-align:center;">
</td>
<td style="text-align:center;">
1.007
</td>
<td style="text-align:center;">
1.021***
</td>
<td style="text-align:center;">
1.014+
</td>
<td style="text-align:center;">
1.025***
</td>
</tr>
<tr>
<td style="text-align:left;">
</td>
<td style="text-align:center;">
</td>
<td style="text-align:center;">
</td>
<td style="text-align:center;">
[1.000, 1.031]
</td>
<td style="text-align:center;">
[1.018, 1.041]
</td>
<td style="text-align:center;">
[1.013, 1.038]
</td>
<td style="text-align:center;">
</td>
<td style="text-align:center;">
</td>
<td style="text-align:center;">
[0.997, 1.018]
</td>
<td style="text-align:center;">
[1.012, 1.030]
</td>
<td style="text-align:center;">
[0.999, 1.029]
</td>
<td style="text-align:center;">
[1.013, 1.037]
</td>
</tr>
<tr>
<td style="text-align:left;">
Gender (female)
</td>
<td style="text-align:center;">
</td>
<td style="text-align:center;">
</td>
<td style="text-align:center;">
0.946
</td>
<td style="text-align:center;">
1.006
</td>
<td style="text-align:center;">
0.947
</td>
<td style="text-align:center;">
</td>
<td style="text-align:center;">
</td>
<td style="text-align:center;">
1.063
</td>
<td style="text-align:center;">
1.094
</td>
<td style="text-align:center;">
0.968
</td>
<td style="text-align:center;">
0.986
</td>
</tr>
<tr>
<td style="text-align:left;">
</td>
<td style="text-align:center;">
</td>
<td style="text-align:center;">
</td>
<td style="text-align:center;">
[0.543, 1.647]
</td>
<td style="text-align:center;">
[0.671, 1.509]
</td>
<td style="text-align:center;">
[0.620, 1.446]
</td>
<td style="text-align:center;">
</td>
<td style="text-align:center;">
</td>
<td style="text-align:center;">
[0.694, 1.627]
</td>
<td style="text-align:center;">
[0.796, 1.506]
</td>
<td style="text-align:center;">
[0.548, 1.710]
</td>
<td style="text-align:center;">
[0.650, 1.495]
</td>
</tr>
<tr>
<td style="text-align:left;">
Education (no High school diploma)
</td>
<td style="text-align:center;">
</td>
<td style="text-align:center;">
</td>
<td style="text-align:center;">
0.593+
</td>
<td style="text-align:center;">
0.750
</td>
<td style="text-align:center;">
0.565*
</td>
<td style="text-align:center;">
</td>
<td style="text-align:center;">
</td>
<td style="text-align:center;">
0.817
</td>
<td style="text-align:center;">
0.984
</td>
<td style="text-align:center;">
0.464**
</td>
<td style="text-align:center;">
0.541**
</td>
</tr>
<tr>
<td style="text-align:left;">
</td>
<td style="text-align:center;">
</td>
<td style="text-align:center;">
</td>
<td style="text-align:center;">
[0.342, 1.029]
</td>
<td style="text-align:center;">
[0.490, 1.139]
</td>
<td style="text-align:center;">
[0.358, 0.883]
</td>
<td style="text-align:center;">
</td>
<td style="text-align:center;">
</td>
<td style="text-align:center;">
[0.528, 1.267]
</td>
<td style="text-align:center;">
[0.709, 1.364]
</td>
<td style="text-align:center;">
[0.262, 0.821]
</td>
<td style="text-align:center;">
[0.344, 0.842]
</td>
</tr>
<tr>
<td style="text-align:left;">
Indiv. financial situation (bad)
</td>
<td style="text-align:center;">
</td>
<td style="text-align:center;">
</td>
<td style="text-align:center;">
0.693
</td>
<td style="text-align:center;">
1.356
</td>
<td style="text-align:center;">
1.173
</td>
<td style="text-align:center;">
</td>
<td style="text-align:center;">
</td>
<td style="text-align:center;">
0.802
</td>
<td style="text-align:center;">
1.183
</td>
<td style="text-align:center;">
0.556
</td>
<td style="text-align:center;">
1.162
</td>
</tr>
<tr>
<td style="text-align:left;">
</td>
<td style="text-align:center;">
</td>
<td style="text-align:center;">
</td>
<td style="text-align:center;">
[0.349, 1.377]
</td>
<td style="text-align:center;">
[0.799, 2.258]
</td>
<td style="text-align:center;">
[0.658, 2.057]
</td>
<td style="text-align:center;">
</td>
<td style="text-align:center;">
</td>
<td style="text-align:center;">
[0.458, 1.403]
</td>
<td style="text-align:center;">
[0.784, 1.761]
</td>
<td style="text-align:center;">
[0.253, 1.224]
</td>
<td style="text-align:center;">
[0.661, 2.012]
</td>
</tr>
<tr>
<td style="text-align:left;">
Econ. deprivation
</td>
<td style="text-align:center;">
</td>
<td style="text-align:center;">
</td>
<td style="text-align:center;">
1.400
</td>
<td style="text-align:center;">
1.509+
</td>
<td style="text-align:center;">
1.044
</td>
<td style="text-align:center;">
</td>
<td style="text-align:center;">
</td>
<td style="text-align:center;">
1.086
</td>
<td style="text-align:center;">
1.382+
</td>
<td style="text-align:center;">
1.027
</td>
<td style="text-align:center;">
1.073
</td>
</tr>
<tr>
<td style="text-align:left;">
</td>
<td style="text-align:center;">
</td>
<td style="text-align:center;">
</td>
<td style="text-align:center;">
[0.781, 2.511]
</td>
<td style="text-align:center;">
[0.984, 2.312]
</td>
<td style="text-align:center;">
[0.654, 1.663]
</td>
<td style="text-align:center;">
</td>
<td style="text-align:center;">
</td>
<td style="text-align:center;">
[0.667, 1.769]
</td>
<td style="text-align:center;">
[0.990, 1.930]
</td>
<td style="text-align:center;">
[0.561, 1.881]
</td>
<td style="text-align:center;">
[0.679, 1.693]
</td>
</tr>
<tr>
<td style="text-align:left;">
Anti-immigrant attitudes
</td>
<td style="text-align:center;">
</td>
<td style="text-align:center;">
</td>
<td style="text-align:center;">
</td>
<td style="text-align:center;">
</td>
<td style="text-align:center;">
0.910
</td>
<td style="text-align:center;">
</td>
<td style="text-align:center;">
</td>
<td style="text-align:center;">
</td>
<td style="text-align:center;">
</td>
<td style="text-align:center;">
0.741
</td>
<td style="text-align:center;">
0.929
</td>
</tr>
<tr>
<td style="text-align:left;">
</td>
<td style="text-align:center;">
</td>
<td style="text-align:center;">
</td>
<td style="text-align:center;">
</td>
<td style="text-align:center;">
</td>
<td style="text-align:center;">
[0.652, 1.270]
</td>
<td style="text-align:center;">
</td>
<td style="text-align:center;">
</td>
<td style="text-align:center;">
</td>
<td style="text-align:center;">
</td>
<td style="text-align:center;">
[0.458, 1.200]
</td>
<td style="text-align:center;">
[0.667, 1.293]
</td>
</tr>
<tr>
<td style="text-align:left;">
Anti-feminism
</td>
<td style="text-align:center;">
</td>
<td style="text-align:center;">
</td>
<td style="text-align:center;">
</td>
<td style="text-align:center;">
</td>
<td style="text-align:center;">
0.615
</td>
<td style="text-align:center;">
</td>
<td style="text-align:center;">
</td>
<td style="text-align:center;">
</td>
<td style="text-align:center;">
</td>
<td style="text-align:center;">
0.646
</td>
<td style="text-align:center;">
0.621
</td>
</tr>
<tr>
<td style="text-align:left;">
</td>
<td style="text-align:center;">
</td>
<td style="text-align:center;">
</td>
<td style="text-align:center;">
</td>
<td style="text-align:center;">
</td>
<td style="text-align:center;">
[0.321, 1.120]
</td>
<td style="text-align:center;">
</td>
<td style="text-align:center;">
</td>
<td style="text-align:center;">
</td>
<td style="text-align:center;">
</td>
<td style="text-align:center;">
[0.267, 1.562]
</td>
<td style="text-align:center;">
[0.330, 1.114]
</td>
</tr>
<tr>
<td style="text-align:left;">
Second class (yes)
</td>
<td style="text-align:center;">
</td>
<td style="text-align:center;">
</td>
<td style="text-align:center;">
</td>
<td style="text-align:center;">
</td>
<td style="text-align:center;">
1.514+
</td>
<td style="text-align:center;">
</td>
<td style="text-align:center;">
</td>
<td style="text-align:center;">
</td>
<td style="text-align:center;">
</td>
<td style="text-align:center;">
1.332
</td>
<td style="text-align:center;">
1.547+
</td>
</tr>
<tr>
<td style="text-align:left;">
</td>
<td style="text-align:center;">
</td>
<td style="text-align:center;">
</td>
<td style="text-align:center;">
</td>
<td style="text-align:center;">
</td>
<td style="text-align:center;">
[0.949, 2.420]
</td>
<td style="text-align:center;">
</td>
<td style="text-align:center;">
</td>
<td style="text-align:center;">
</td>
<td style="text-align:center;">
</td>
<td style="text-align:center;">
[0.657, 2.702]
</td>
<td style="text-align:center;">
[0.977, 2.455]
</td>
</tr>
<tr>
<td style="text-align:left;">
GDR nostalgia
</td>
<td style="text-align:center;">
</td>
<td style="text-align:center;">
</td>
<td style="text-align:center;">
</td>
<td style="text-align:center;">
</td>
<td style="text-align:center;">
1.928**
</td>
<td style="text-align:center;">
</td>
<td style="text-align:center;">
</td>
<td style="text-align:center;">
</td>
<td style="text-align:center;">
</td>
<td style="text-align:center;">
2.099*
</td>
<td style="text-align:center;">
1.889**
</td>
</tr>
<tr>
<td style="text-align:left;">
</td>
<td style="text-align:center;">
</td>
<td style="text-align:center;">
</td>
<td style="text-align:center;">
</td>
<td style="text-align:center;">
</td>
<td style="text-align:center;">
[1.203, 3.090]
</td>
<td style="text-align:center;">
</td>
<td style="text-align:center;">
</td>
<td style="text-align:center;">
</td>
<td style="text-align:center;">
</td>
<td style="text-align:center;">
[1.092, 4.034]
</td>
<td style="text-align:center;">
[1.185, 3.010]
</td>
</tr>
<tr>
<td style="text-align:left;">
Dissatisf. with democracy
</td>
<td style="text-align:center;">
</td>
<td style="text-align:center;">
</td>
<td style="text-align:center;">
</td>
<td style="text-align:center;">
</td>
<td style="text-align:center;">
2.002**
</td>
<td style="text-align:center;">
</td>
<td style="text-align:center;">
</td>
<td style="text-align:center;">
</td>
<td style="text-align:center;">
</td>
<td style="text-align:center;">
2.981**
</td>
<td style="text-align:center;">
1.999**
</td>
</tr>
<tr>
<td style="text-align:left;">
</td>
<td style="text-align:center;">
</td>
<td style="text-align:center;">
</td>
<td style="text-align:center;">
</td>
<td style="text-align:center;">
</td>
<td style="text-align:center;">
[1.199, 3.374]
</td>
<td style="text-align:center;">
</td>
<td style="text-align:center;">
</td>
<td style="text-align:center;">
</td>
<td style="text-align:center;">
</td>
<td style="text-align:center;">
[1.482, 5.998]
</td>
<td style="text-align:center;">
[1.206, 3.344]
</td>
</tr>
<tr>
<td style="text-align:left;">
Distrust
</td>
<td style="text-align:center;">
</td>
<td style="text-align:center;">
</td>
<td style="text-align:center;">
</td>
<td style="text-align:center;">
</td>
<td style="text-align:center;">
1.368*
</td>
<td style="text-align:center;">
</td>
<td style="text-align:center;">
</td>
<td style="text-align:center;">
</td>
<td style="text-align:center;">
</td>
<td style="text-align:center;">
1.109
</td>
<td style="text-align:center;">
1.364*
</td>
</tr>
<tr>
<td style="text-align:left;">
</td>
<td style="text-align:center;">
</td>
<td style="text-align:center;">
</td>
<td style="text-align:center;">
</td>
<td style="text-align:center;">
</td>
<td style="text-align:center;">
[1.024, 1.836]
</td>
<td style="text-align:center;">
</td>
<td style="text-align:center;">
</td>
<td style="text-align:center;">
</td>
<td style="text-align:center;">
</td>
<td style="text-align:center;">
[0.795, 1.547]
</td>
<td style="text-align:center;">
[1.025, 1.823]
</td>
</tr>
<tr>
<td style="text-align:left;">
Place-based resentment
</td>
<td style="text-align:center;">
</td>
<td style="text-align:center;">
</td>
<td style="text-align:center;">
</td>
<td style="text-align:center;">
</td>
<td style="text-align:center;">
1.222
</td>
<td style="text-align:center;">
</td>
<td style="text-align:center;">
</td>
<td style="text-align:center;">
</td>
<td style="text-align:center;">
</td>
<td style="text-align:center;">
1.030
</td>
<td style="text-align:center;">
1.158
</td>
</tr>
<tr>
<td style="text-align:left;">
</td>
<td style="text-align:center;">
</td>
<td style="text-align:center;">
</td>
<td style="text-align:center;">
</td>
<td style="text-align:center;">
</td>
<td style="text-align:center;">
[0.852, 1.778]
</td>
<td style="text-align:center;">
</td>
<td style="text-align:center;">
</td>
<td style="text-align:center;">
</td>
<td style="text-align:center;">
</td>
<td style="text-align:center;">
[0.643, 1.652]
</td>
<td style="text-align:center;">
[0.815, 1.665]
</td>
</tr>
<tr>
<td style="text-align:left;">
Status anxiety
</td>
<td style="text-align:center;">
</td>
<td style="text-align:center;">
</td>
<td style="text-align:center;">
</td>
<td style="text-align:center;">
</td>
<td style="text-align:center;">
0.687
</td>
<td style="text-align:center;">
</td>
<td style="text-align:center;">
</td>
<td style="text-align:center;">
</td>
<td style="text-align:center;">
</td>
<td style="text-align:center;">
0.827
</td>
<td style="text-align:center;">
0.679
</td>
</tr>
<tr>
<td style="text-align:left;">
</td>
<td style="text-align:center;">
</td>
<td style="text-align:center;">
</td>
<td style="text-align:center;">
</td>
<td style="text-align:center;">
</td>
<td style="text-align:center;">
[0.411, 1.136]
</td>
<td style="text-align:center;">
</td>
<td style="text-align:center;">
</td>
<td style="text-align:center;">
</td>
<td style="text-align:center;">
</td>
<td style="text-align:center;">
[0.395, 1.732]
</td>
<td style="text-align:center;">
[0.409, 1.115]
</td>
</tr>
<tr>
<td style="text-align:left;">
Economic situation Thuringia (bad)
</td>
<td style="text-align:center;">
</td>
<td style="text-align:center;">
</td>
<td style="text-align:center;">
</td>
<td style="text-align:center;">
</td>
<td style="text-align:center;">
1.087
</td>
<td style="text-align:center;">
</td>
<td style="text-align:center;">
</td>
<td style="text-align:center;">
</td>
<td style="text-align:center;">
</td>
<td style="text-align:center;">
1.034
</td>
<td style="text-align:center;">
1.020
</td>
</tr>
<tr>
<td style="text-align:left;box-shadow: 0px 1.5px">
</td>
<td style="text-align:center;box-shadow: 0px 1.5px">
</td>
<td style="text-align:center;box-shadow: 0px 1.5px">
</td>
<td style="text-align:center;box-shadow: 0px 1.5px">
</td>
<td style="text-align:center;box-shadow: 0px 1.5px">
</td>
<td style="text-align:center;box-shadow: 0px 1.5px">
[0.698, 1.693]
</td>
<td style="text-align:center;box-shadow: 0px 1.5px">
</td>
<td style="text-align:center;box-shadow: 0px 1.5px">
</td>
<td style="text-align:center;box-shadow: 0px 1.5px">
</td>
<td style="text-align:center;box-shadow: 0px 1.5px">
</td>
<td style="text-align:center;box-shadow: 0px 1.5px">
[0.537, 1.988]
</td>
<td style="text-align:center;box-shadow: 0px 1.5px">
[0.660, 1.577]
</td>
</tr>
<tr>
<td style="text-align:left;">
Num.Obs.
</td>
<td style="text-align:center;">
975
</td>
<td style="text-align:center;">
975
</td>
<td style="text-align:center;">
975
</td>
<td style="text-align:center;">
975
</td>
<td style="text-align:center;">
975
</td>
<td style="text-align:center;">
1530
</td>
<td style="text-align:center;">
1530
</td>
<td style="text-align:center;">
1465
</td>
<td style="text-align:center;">
1465
</td>
<td style="text-align:center;">
996
</td>
<td style="text-align:center;">
996
</td>
</tr>
</tbody>
<tfoot>
<tr>
<td style="padding: 0; " colspan="100%">
<sup></sup> + p &lt; 0.1, * p &lt; 0.05, ** p &lt; 0.01, *** p &lt;
0.001
</td>
</tr>
</tfoot>
</table>
<p>What do these further robustness checks tell us?</p>
<p><strong>Anti-trans</strong> and <strong>anti-feminist</strong> views
are <strong>never</strong> significantly and positively associated with
voting BSW. For anti-trans views, there are a few instances that show a
<strong>negative</strong> association at the 90% level (2/12
models).</p>
</div>
</div>
<div id="all-models-on-the-same-set-of-cases" class="section level2">
<h2>11 All models on the same set of cases</h2>
<p>Let’s do one last robustness check, where we run all models on the
exact same cases. That means we also include the far-right attitudes
variables in the dataframe we use for the cultural
conservatism/political grievances models and remove the missings prior
to the analysis. This leaves us with N=963 cases.</p>
<p>We will look at:</p>
<ul>
<li>all full models</li>
<li>partial modles with only cultural conservatism/political
grievances</li>
<li>bivariate model for far-right attitudes</li>
</ul>
<pre class="r"><code># select vars we need
tm &lt;- tm_all %&gt;% 
  select(alter, gender, edu_gr, fin_sit, fair_share, status_anx, unemployed, manual_worker, anti_immigration, anti_feminism, anti_trans, econ_situation_th, second_class, gdr, swd_gr, pol_distrust, RR, afd, bsw, REX, Ethno, NSIdeo, persgew)

# remove data with missings
tm &lt;- tm %&gt;% 
  drop_na()
dim(tm)</code></pre>
<pre><code>## [1] 963  23</code></pre>
<pre class="r"><code># surveydesign object
tm_w &lt;- svydesign(id=~1, weights=~persgew, data = tm)

# MODELS
##### Cultural conservatism #####
m1_afd &lt;- svyglm(afd~anti_immigration+anti_feminism+anti_trans,
                 family = quasibinomial(link = &quot;logit&quot;),
                 design = tm_w)

m1_bsw &lt;- svyglm(bsw~anti_immigration+anti_feminism+anti_trans,
                 family = quasibinomial(link = &quot;logit&quot;),
                 design = tm_w)


##### Political grievances #####
m2_afd &lt;- svyglm(afd~swd_gr+pol_distrust+RR+second_class+gdr,
                 family = quasibinomial(link=&quot;logit&quot;),
                 design = tm_w)

m2_bsw &lt;- svyglm(bsw~swd_gr+pol_distrust+RR+second_class+gdr,
                 family = quasibinomial(link=&quot;logit&quot;),
                 design = tm_w)


#### Full model cultural/political grievances ####
m3_afd &lt;- svyglm(afd~anti_immigration+anti_feminism+anti_trans+second_class+gdr+swd_gr+pol_distrust+RR+alter+gender+edu_gr+fin_sit+fair_share+unemployed+manual_worker+status_anx+econ_situation_th,
                family = quasibinomial(link=&quot;logit&quot;),
                design = tm_w)

m3_bsw &lt;- svyglm(bsw~anti_immigration+anti_feminism+anti_trans+second_class+gdr+swd_gr+pol_distrust+RR+alter+gender+edu_gr+fin_sit+fair_share+unemployed+manual_worker++status_anx+econ_situation_th,
                family = quasibinomial(link=&quot;logit&quot;),
                design = tm_w)

#### Far-right bivariate ####
m_rex_afd &lt;- svyglm(afd~REX,
                    family = quasibinomial(link = &quot;logit&quot;),
                    design = tm_w)

m_ethno_afd &lt;- svyglm(afd~Ethno,
                    family = quasibinomial(link = &quot;logit&quot;),
                    design = tm_w)

m_ns_afd &lt;- svyglm(afd~NSIdeo,
                      family = quasibinomial(link = &quot;logit&quot;),
                      design = tm_w)

m_rex_bsw &lt;- svyglm(bsw~REX,
                    family = quasibinomial(link = &quot;logit&quot;),
                    design = tm_w)

m_ethno_bsw &lt;- svyglm(bsw~Ethno,
                    family = quasibinomial(link = &quot;logit&quot;),
                    design = tm_w)

m_ns_bsw &lt;- svyglm(bsw~NSIdeo,
                      family = quasibinomial(link = &quot;logit&quot;),
                      design = tm_w)

#### Far-right full ####
# MODELS
m1_rex_afd &lt;- svyglm(afd~REX+anti_feminism+anti_trans+second_class+gdr+swd_gr+pol_distrust+RR+alter+gender+edu_gr+fin_sit+unemployed+manual_worker+fair_share+status_anx+econ_situation_th,
                     family = quasibinomial(link = &quot;logit&quot;),
                     design = tm_w)

m1_rex_bsw &lt;- svyglm(bsw~REX+anti_feminism+anti_trans+second_class+gdr++swd_gr+pol_distrust+RR+alter+gender+edu_gr+fin_sit+unemployed+manual_worker+fair_share+status_anx+econ_situation_th,
                     family = quasibinomial(link = &quot;logit&quot;),
                     design = tm_w)

m1_ethno_afd &lt;- svyglm(afd~Ethno+anti_feminism+anti_trans+second_class+gdr++swd_gr+pol_distrust+RR+alter+gender+edu_gr+fin_sit+unemployed+manual_worker+fair_share+status_anx+econ_situation_th,
                       family = quasibinomial(link = &quot;logit&quot;),
                       design = tm_w)

m1_ethno_bsw &lt;- svyglm(bsw~Ethno+anti_feminism+anti_trans+second_class+gdr++swd_gr+pol_distrust+RR+alter+gender+edu_gr+fin_sit+unemployed+manual_worker+fair_share+status_anx+econ_situation_th,
                       family = quasibinomial(link = &quot;logit&quot;),
                       design = tm_w)

m1_ns_afd &lt;- svyglm(afd~NSIdeo+anti_feminism+anti_trans+second_class+gdr++swd_gr+pol_distrust+RR+alter+gender+edu_gr+fin_sit+unemployed+manual_worker+fair_share+status_anx+econ_situation_th,
                    family = quasibinomial(link = &quot;logit&quot;),
                    design = tm_w)

m1_ns_bsw &lt;- svyglm(bsw~NSIdeo+anti_feminism+anti_trans+second_class+gdr++swd_gr+pol_distrust+RR+alter+gender+edu_gr+fin_sit+unemployed+manual_worker+fair_share+status_anx+econ_situation_th,
                    family = quasibinomial(link = &quot;logit&quot;),
                    design = tm_w)</code></pre>
<pre class="r"><code># Model summaries cultural/political grievances
modelsummary(
  list(&quot;AfD&quot; = m1_afd, &quot;BSW&quot; = m1_bsw,
       &quot;AfD&quot; = m2_afd, &quot;BSW&quot; = m2_bsw,
       &quot;AfD&quot; = m3_afd, &quot;BSW&quot; = m3_bsw),
  exponentiate = T, # get OR
  stars = T,
  output = &quot;kableExtra&quot;,
  statistic = &quot;conf.int&quot;,
  gof_omit = &quot;RMSE|R2|Deviance|F|AIC|BIC|Log.Lik&quot;,
  title = &quot;Logistic regression models predicting AfD and BSW vote choice with regard to cultural conservatism and political grievances (Odds Ratios)&quot;,
  coef_rename = coef_names
)</code></pre>
<table style="NAborder-bottom: 0; width: auto !important; margin-left: auto; margin-right: auto;" class="table">
<caption>
Logistic regression models predicting AfD and BSW vote choice with
regard to cultural conservatism and political grievances (Odds Ratios)
</caption>
<thead>
<tr>
<th style="text-align:left;">
</th>
<th style="text-align:center;">
AfD
</th>
<th style="text-align:center;">
BSW
</th>
<th style="text-align:center;">
AfD
</th>
<th style="text-align:center;">
BSW
</th>
<th style="text-align:center;">
AfD
</th>
<th style="text-align:center;">
BSW
</th>
</tr>
</thead>
<tbody>
<tr>
<td style="text-align:left;">
(Intercept)
</td>
<td style="text-align:center;">
0.003***
</td>
<td style="text-align:center;">
0.112***
</td>
<td style="text-align:center;">
0.000***
</td>
<td style="text-align:center;">
0.090***
</td>
<td style="text-align:center;">
0.000***
</td>
<td style="text-align:center;">
0.051***
</td>
</tr>
<tr>
<td style="text-align:left;">
</td>
<td style="text-align:center;">
[0.001, 0.009]
</td>
<td style="text-align:center;">
[0.049, 0.253]
</td>
<td style="text-align:center;">
[0.000, 0.002]
</td>
<td style="text-align:center;">
[0.028, 0.291]
</td>
<td style="text-align:center;">
[0.000, 0.001]
</td>
<td style="text-align:center;">
[0.010, 0.268]
</td>
</tr>
<tr>
<td style="text-align:left;">
Anti-immigrant attitudes
</td>
<td style="text-align:center;">
4.176***
</td>
<td style="text-align:center;">
1.139
</td>
<td style="text-align:center;">
</td>
<td style="text-align:center;">
</td>
<td style="text-align:center;">
2.593***
</td>
<td style="text-align:center;">
0.720
</td>
</tr>
<tr>
<td style="text-align:left;">
</td>
<td style="text-align:center;">
[2.776, 6.282]
</td>
<td style="text-align:center;">
[0.801, 1.619]
</td>
<td style="text-align:center;">
</td>
<td style="text-align:center;">
</td>
<td style="text-align:center;">
[1.644, 4.087]
</td>
<td style="text-align:center;">
[0.442, 1.172]
</td>
</tr>
<tr>
<td style="text-align:left;">
Anti-feminism
</td>
<td style="text-align:center;">
2.411**
</td>
<td style="text-align:center;">
0.664
</td>
<td style="text-align:center;">
</td>
<td style="text-align:center;">
</td>
<td style="text-align:center;">
1.659
</td>
<td style="text-align:center;">
0.556
</td>
</tr>
<tr>
<td style="text-align:left;">
</td>
<td style="text-align:center;">
[1.238, 4.696]
</td>
<td style="text-align:center;">
[0.288, 1.530]
</td>
<td style="text-align:center;">
</td>
<td style="text-align:center;">
</td>
<td style="text-align:center;">
[0.834, 3.299]
</td>
<td style="text-align:center;">
[0.226, 1.370]
</td>
</tr>
<tr>
<td style="text-align:left;">
Anti-trans attitudes
</td>
<td style="text-align:center;">
1.685
</td>
<td style="text-align:center;">
0.984
</td>
<td style="text-align:center;">
</td>
<td style="text-align:center;">
</td>
<td style="text-align:center;">
1.204
</td>
<td style="text-align:center;">
1.013
</td>
</tr>
<tr>
<td style="text-align:left;">
</td>
<td style="text-align:center;">
[0.842, 3.371]
</td>
<td style="text-align:center;">
[0.439, 2.204]
</td>
<td style="text-align:center;">
</td>
<td style="text-align:center;">
</td>
<td style="text-align:center;">
[0.592, 2.447]
</td>
<td style="text-align:center;">
[0.465, 2.208]
</td>
</tr>
<tr>
<td style="text-align:left;">
Dissatisf. with democracy
</td>
<td style="text-align:center;">
</td>
<td style="text-align:center;">
</td>
<td style="text-align:center;">
6.502***
</td>
<td style="text-align:center;">
2.423*
</td>
<td style="text-align:center;">
4.775**
</td>
<td style="text-align:center;">
3.113**
</td>
</tr>
<tr>
<td style="text-align:left;">
</td>
<td style="text-align:center;">
</td>
<td style="text-align:center;">
</td>
<td style="text-align:center;">
[2.397, 17.636]
</td>
<td style="text-align:center;">
[1.164, 5.045]
</td>
<td style="text-align:center;">
[1.710, 13.338]
</td>
<td style="text-align:center;">
[1.528, 6.344]
</td>
</tr>
<tr>
<td style="text-align:left;">
Distrust
</td>
<td style="text-align:center;">
</td>
<td style="text-align:center;">
</td>
<td style="text-align:center;">
2.994***
</td>
<td style="text-align:center;">
0.879
</td>
<td style="text-align:center;">
2.192***
</td>
<td style="text-align:center;">
1.073
</td>
</tr>
<tr>
<td style="text-align:left;">
</td>
<td style="text-align:center;">
</td>
<td style="text-align:center;">
</td>
<td style="text-align:center;">
[1.982, 4.522]
</td>
<td style="text-align:center;">
[0.651, 1.186]
</td>
<td style="text-align:center;">
[1.441, 3.335]
</td>
<td style="text-align:center;">
[0.765, 1.505]
</td>
</tr>
<tr>
<td style="text-align:left;">
Place-based resentment
</td>
<td style="text-align:center;">
</td>
<td style="text-align:center;">
</td>
<td style="text-align:center;">
1.742*
</td>
<td style="text-align:center;">
1.017
</td>
<td style="text-align:center;">
1.675+
</td>
<td style="text-align:center;">
1.052
</td>
</tr>
<tr>
<td style="text-align:left;">
</td>
<td style="text-align:center;">
</td>
<td style="text-align:center;">
</td>
<td style="text-align:center;">
[1.027, 2.954]
</td>
<td style="text-align:center;">
[0.652, 1.586]
</td>
<td style="text-align:center;">
[0.993, 2.823]
</td>
<td style="text-align:center;">
[0.649, 1.707]
</td>
</tr>
<tr>
<td style="text-align:left;">
Second class (yes)
</td>
<td style="text-align:center;">
</td>
<td style="text-align:center;">
</td>
<td style="text-align:center;">
0.748
</td>
<td style="text-align:center;">
1.063
</td>
<td style="text-align:center;">
0.660
</td>
<td style="text-align:center;">
1.452
</td>
</tr>
<tr>
<td style="text-align:left;">
</td>
<td style="text-align:center;">
</td>
<td style="text-align:center;">
</td>
<td style="text-align:center;">
[0.394, 1.420]
</td>
<td style="text-align:center;">
[0.560, 2.017]
</td>
<td style="text-align:center;">
[0.314, 1.391]
</td>
<td style="text-align:center;">
[0.717, 2.939]
</td>
</tr>
<tr>
<td style="text-align:left;">
GDR nostalgia
</td>
<td style="text-align:center;">
</td>
<td style="text-align:center;">
</td>
<td style="text-align:center;">
1.572
</td>
<td style="text-align:center;">
1.692+
</td>
<td style="text-align:center;">
1.196
</td>
<td style="text-align:center;">
2.111*
</td>
</tr>
<tr>
<td style="text-align:left;">
</td>
<td style="text-align:center;">
</td>
<td style="text-align:center;">
</td>
<td style="text-align:center;">
[0.871, 2.836]
</td>
<td style="text-align:center;">
[0.920, 3.112]
</td>
<td style="text-align:center;">
[0.604, 2.369]
</td>
<td style="text-align:center;">
[1.098, 4.058]
</td>
</tr>
<tr>
<td style="text-align:left;">
Age
</td>
<td style="text-align:center;">
</td>
<td style="text-align:center;">
</td>
<td style="text-align:center;">
</td>
<td style="text-align:center;">
</td>
<td style="text-align:center;">
0.987
</td>
<td style="text-align:center;">
1.015+
</td>
</tr>
<tr>
<td style="text-align:left;">
</td>
<td style="text-align:center;">
</td>
<td style="text-align:center;">
</td>
<td style="text-align:center;">
</td>
<td style="text-align:center;">
</td>
<td style="text-align:center;">
[0.971, 1.004]
</td>
<td style="text-align:center;">
[0.998, 1.033]
</td>
</tr>
<tr>
<td style="text-align:left;">
Gender (female)
</td>
<td style="text-align:center;">
</td>
<td style="text-align:center;">
</td>
<td style="text-align:center;">
</td>
<td style="text-align:center;">
</td>
<td style="text-align:center;">
0.675
</td>
<td style="text-align:center;">
1.032
</td>
</tr>
<tr>
<td style="text-align:left;">
</td>
<td style="text-align:center;">
</td>
<td style="text-align:center;">
</td>
<td style="text-align:center;">
</td>
<td style="text-align:center;">
</td>
<td style="text-align:center;">
[0.345, 1.319]
</td>
<td style="text-align:center;">
[0.574, 1.857]
</td>
</tr>
<tr>
<td style="text-align:left;">
Education (no High school diploma)
</td>
<td style="text-align:center;">
</td>
<td style="text-align:center;">
</td>
<td style="text-align:center;">
</td>
<td style="text-align:center;">
</td>
<td style="text-align:center;">
1.426
</td>
<td style="text-align:center;">
0.468*
</td>
</tr>
<tr>
<td style="text-align:left;">
</td>
<td style="text-align:center;">
</td>
<td style="text-align:center;">
</td>
<td style="text-align:center;">
</td>
<td style="text-align:center;">
</td>
<td style="text-align:center;">
[0.726, 2.803]
</td>
<td style="text-align:center;">
[0.262, 0.836]
</td>
</tr>
<tr>
<td style="text-align:left;">
Indiv. financial situation (bad)
</td>
<td style="text-align:center;">
</td>
<td style="text-align:center;">
</td>
<td style="text-align:center;">
</td>
<td style="text-align:center;">
</td>
<td style="text-align:center;">
1.039
</td>
<td style="text-align:center;">
0.428*
</td>
</tr>
<tr>
<td style="text-align:left;">
</td>
<td style="text-align:center;">
</td>
<td style="text-align:center;">
</td>
<td style="text-align:center;">
</td>
<td style="text-align:center;">
</td>
<td style="text-align:center;">
[0.501, 2.153]
</td>
<td style="text-align:center;">
[0.187, 0.976]
</td>
</tr>
<tr>
<td style="text-align:left;">
Econ. deprivation
</td>
<td style="text-align:center;">
</td>
<td style="text-align:center;">
</td>
<td style="text-align:center;">
</td>
<td style="text-align:center;">
</td>
<td style="text-align:center;">
1.037
</td>
<td style="text-align:center;">
1.176
</td>
</tr>
<tr>
<td style="text-align:left;">
</td>
<td style="text-align:center;">
</td>
<td style="text-align:center;">
</td>
<td style="text-align:center;">
</td>
<td style="text-align:center;">
</td>
<td style="text-align:center;">
[0.527, 2.038]
</td>
<td style="text-align:center;">
[0.650, 2.130]
</td>
</tr>
<tr>
<td style="text-align:left;">
Unemployment
</td>
<td style="text-align:center;">
</td>
<td style="text-align:center;">
</td>
<td style="text-align:center;">
</td>
<td style="text-align:center;">
</td>
<td style="text-align:center;">
0.695
</td>
<td style="text-align:center;">
4.456+
</td>
</tr>
<tr>
<td style="text-align:left;">
</td>
<td style="text-align:center;">
</td>
<td style="text-align:center;">
</td>
<td style="text-align:center;">
</td>
<td style="text-align:center;">
</td>
<td style="text-align:center;">
[0.093, 5.209]
</td>
<td style="text-align:center;">
[0.977, 20.337]
</td>
</tr>
<tr>
<td style="text-align:left;">
Manual worker
</td>
<td style="text-align:center;">
</td>
<td style="text-align:center;">
</td>
<td style="text-align:center;">
</td>
<td style="text-align:center;">
</td>
<td style="text-align:center;">
1.698
</td>
<td style="text-align:center;">
1.527
</td>
</tr>
<tr>
<td style="text-align:left;">
</td>
<td style="text-align:center;">
</td>
<td style="text-align:center;">
</td>
<td style="text-align:center;">
</td>
<td style="text-align:center;">
</td>
<td style="text-align:center;">
[0.608, 4.740]
</td>
<td style="text-align:center;">
[0.550, 4.235]
</td>
</tr>
<tr>
<td style="text-align:left;">
Status anxiety
</td>
<td style="text-align:center;">
</td>
<td style="text-align:center;">
</td>
<td style="text-align:center;">
</td>
<td style="text-align:center;">
</td>
<td style="text-align:center;">
0.774
</td>
<td style="text-align:center;">
0.772
</td>
</tr>
<tr>
<td style="text-align:left;">
</td>
<td style="text-align:center;">
</td>
<td style="text-align:center;">
</td>
<td style="text-align:center;">
</td>
<td style="text-align:center;">
</td>
<td style="text-align:center;">
[0.354, 1.691]
</td>
<td style="text-align:center;">
[0.381, 1.567]
</td>
</tr>
<tr>
<td style="text-align:left;">
Economic situation Thuringia (bad)
</td>
<td style="text-align:center;">
</td>
<td style="text-align:center;">
</td>
<td style="text-align:center;">
</td>
<td style="text-align:center;">
</td>
<td style="text-align:center;">
1.696
</td>
<td style="text-align:center;">
1.149
</td>
</tr>
<tr>
<td style="text-align:left;box-shadow: 0px 1.5px">
</td>
<td style="text-align:center;box-shadow: 0px 1.5px">
</td>
<td style="text-align:center;box-shadow: 0px 1.5px">
</td>
<td style="text-align:center;box-shadow: 0px 1.5px">
</td>
<td style="text-align:center;box-shadow: 0px 1.5px">
</td>
<td style="text-align:center;box-shadow: 0px 1.5px">
[0.862, 3.336]
</td>
<td style="text-align:center;box-shadow: 0px 1.5px">
[0.606, 2.179]
</td>
</tr>
<tr>
<td style="text-align:left;">
Num.Obs.
</td>
<td style="text-align:center;">
963
</td>
<td style="text-align:center;">
963
</td>
<td style="text-align:center;">
963
</td>
<td style="text-align:center;">
963
</td>
<td style="text-align:center;">
963
</td>
<td style="text-align:center;">
963
</td>
</tr>
</tbody>
<tfoot>
<tr>
<td style="padding: 0; " colspan="100%">
<sup></sup> + p &lt; 0.1, * p &lt; 0.05, ** p &lt; 0.01, *** p &lt;
0.001
</td>
</tr>
</tfoot>
</table>
<pre class="r"><code># Model summaries far-right
## Bivariate
modelsummary(
  list(&quot;Far-right (AfD)&quot; = m_rex_afd,
       &quot;Ethnocentrism (AfD)&quot; = m_ethno_afd,
       &quot;Neo-Nazi ideology (AfD)&quot; = m_ns_afd,
       &quot;Far-right (BSW)&quot; = m_rex_bsw, 
       &quot;Ethnocentrism (BSW)&quot; = m_ethno_bsw, 
       &quot;Neo-Nazi ideology (BSW)&quot; = m_ns_bsw
       ),
  exponentiate = T, # get OR
  stars = T,
  output = &quot;kableExtra&quot;,
  statistic = &quot;conf.int&quot;,
  gof_omit = &quot;RMSE|R2|Deviance|F|AIC|BIC|Log.Lik&quot;,
  title = &quot;Table: Bivariate Logistic regression models predicting AfD and BSW vote choice with far-right attitudes (Odds Ratios)&quot;,
  coef_rename = coef_names
)</code></pre>
<table style="NAborder-bottom: 0; width: auto !important; margin-left: auto; margin-right: auto;" class="table">
<caption>
Table: Bivariate Logistic regression models predicting AfD and BSW vote
choice with far-right attitudes (Odds Ratios)
</caption>
<thead>
<tr>
<th style="text-align:left;">
</th>
<th style="text-align:center;">
Far-right (AfD)
</th>
<th style="text-align:center;">
Ethnocentrism (AfD)
</th>
<th style="text-align:center;">
Neo-Nazi ideology (AfD)
</th>
<th style="text-align:center;">
Far-right (BSW)
</th>
<th style="text-align:center;">
Ethnocentrism (BSW)
</th>
<th style="text-align:center;">
Neo-Nazi ideology (BSW)
</th>
</tr>
</thead>
<tbody>
<tr>
<td style="text-align:left;">
(Intercept)
</td>
<td style="text-align:center;">
0.006***
</td>
<td style="text-align:center;">
0.003***
</td>
<td style="text-align:center;">
0.040***
</td>
<td style="text-align:center;">
0.145***
</td>
<td style="text-align:center;">
0.134***
</td>
<td style="text-align:center;">
0.159***
</td>
</tr>
<tr>
<td style="text-align:left;">
</td>
<td style="text-align:center;">
[0.002, 0.020]
</td>
<td style="text-align:center;">
[0.001, 0.010]
</td>
<td style="text-align:center;">
[0.018, 0.090]
</td>
<td style="text-align:center;">
[0.063, 0.337]
</td>
<td style="text-align:center;">
[0.063, 0.281]
</td>
<td style="text-align:center;">
[0.073, 0.348]
</td>
</tr>
<tr>
<td style="text-align:left;">
Far-right attitudes
</td>
<td style="text-align:center;">
5.362***
</td>
<td style="text-align:center;">
</td>
<td style="text-align:center;">
</td>
<td style="text-align:center;">
0.994
</td>
<td style="text-align:center;">
</td>
<td style="text-align:center;">
</td>
</tr>
<tr>
<td style="text-align:left;">
</td>
<td style="text-align:center;">
[3.244, 8.862]
</td>
<td style="text-align:center;">
</td>
<td style="text-align:center;">
</td>
<td style="text-align:center;">
[0.648, 1.526]
</td>
<td style="text-align:center;">
</td>
<td style="text-align:center;">
</td>
</tr>
<tr>
<td style="text-align:left;">
Ethnocentrism
</td>
<td style="text-align:center;">
</td>
<td style="text-align:center;">
5.127***
</td>
<td style="text-align:center;">
</td>
<td style="text-align:center;">
</td>
<td style="text-align:center;">
1.030
</td>
<td style="text-align:center;">
</td>
</tr>
<tr>
<td style="text-align:left;">
</td>
<td style="text-align:center;">
</td>
<td style="text-align:center;">
[3.324, 7.908]
</td>
<td style="text-align:center;">
</td>
<td style="text-align:center;">
</td>
<td style="text-align:center;">
[0.759, 1.398]
</td>
<td style="text-align:center;">
</td>
</tr>
<tr>
<td style="text-align:left;">
Neo-Nazi ideology
</td>
<td style="text-align:center;">
</td>
<td style="text-align:center;">
</td>
<td style="text-align:center;">
2.978***
</td>
<td style="text-align:center;">
</td>
<td style="text-align:center;">
</td>
<td style="text-align:center;">
0.934
</td>
</tr>
<tr>
<td style="text-align:left;box-shadow: 0px 1.5px">
</td>
<td style="text-align:center;box-shadow: 0px 1.5px">
</td>
<td style="text-align:center;box-shadow: 0px 1.5px">
</td>
<td style="text-align:center;box-shadow: 0px 1.5px">
[1.866, 4.752]
</td>
<td style="text-align:center;box-shadow: 0px 1.5px">
</td>
<td style="text-align:center;box-shadow: 0px 1.5px">
</td>
<td style="text-align:center;box-shadow: 0px 1.5px">
[0.561, 1.555]
</td>
</tr>
<tr>
<td style="text-align:left;">
Num.Obs.
</td>
<td style="text-align:center;">
963
</td>
<td style="text-align:center;">
963
</td>
<td style="text-align:center;">
963
</td>
<td style="text-align:center;">
963
</td>
<td style="text-align:center;">
963
</td>
<td style="text-align:center;">
963
</td>
</tr>
</tbody>
<tfoot>
<tr>
<td style="padding: 0; " colspan="100%">
<sup></sup> + p &lt; 0.1, * p &lt; 0.05, ** p &lt; 0.01, *** p &lt;
0.001
</td>
</tr>
</tfoot>
</table>
<pre class="r"><code>## Full model
modelsummary(
  list(&quot;Far-right (AfD)&quot; = m1_rex_afd,
       &quot;Ethnocentrism (AfD)&quot; = m1_ethno_afd,
       &quot;Neo-Nazi ideology (AfD)&quot; = m1_ns_afd,
       &quot;Far-right (BSW)&quot; = m1_rex_bsw, 
       &quot;Ethnocentrism (BSW)&quot; = m1_ethno_bsw, 
       &quot;Neo-Nazi ideology (BSW)&quot; = m1_ns_bsw
       ),
  exponentiate = T, # get OR
  stars = T,
  output = &quot;kableExtra&quot;,
  statistic = &quot;conf.int&quot;,
  gof_omit = &quot;RMSE|R2|Deviance|F|AIC|BIC|Log.Lik&quot;,
  title = &quot;Table: Full Logistic regression models predicting AfD and BSW vote choice with far-right attitudes (Odds Ratios)&quot;,
  coef_rename = coef_names
)</code></pre>
<table style="NAborder-bottom: 0; width: auto !important; margin-left: auto; margin-right: auto;" class="table">
<caption>
Table: Full Logistic regression models predicting AfD and BSW vote
choice with far-right attitudes (Odds Ratios)
</caption>
<thead>
<tr>
<th style="text-align:left;">
</th>
<th style="text-align:center;">
Far-right (AfD)
</th>
<th style="text-align:center;">
Ethnocentrism (AfD)
</th>
<th style="text-align:center;">
Neo-Nazi ideology (AfD)
</th>
<th style="text-align:center;">
Far-right (BSW)
</th>
<th style="text-align:center;">
Ethnocentrism (BSW)
</th>
<th style="text-align:center;">
Neo-Nazi ideology (BSW)
</th>
</tr>
</thead>
<tbody>
<tr>
<td style="text-align:left;">
(Intercept)
</td>
<td style="text-align:center;">
0.000***
</td>
<td style="text-align:center;">
0.000***
</td>
<td style="text-align:center;">
0.000***
</td>
<td style="text-align:center;">
0.069**
</td>
<td style="text-align:center;">
0.055***
</td>
<td style="text-align:center;">
0.064**
</td>
</tr>
<tr>
<td style="text-align:left;">
</td>
<td style="text-align:center;">
[0.000, 0.001]
</td>
<td style="text-align:center;">
[0.000, 0.001]
</td>
<td style="text-align:center;">
[0.000, 0.003]
</td>
<td style="text-align:center;">
[0.011, 0.415]
</td>
<td style="text-align:center;">
[0.010, 0.295]
</td>
<td style="text-align:center;">
[0.010, 0.417]
</td>
</tr>
<tr>
<td style="text-align:left;">
Far-right attitudes
</td>
<td style="text-align:center;">
2.899**
</td>
<td style="text-align:center;">
</td>
<td style="text-align:center;">
</td>
<td style="text-align:center;">
0.508+
</td>
<td style="text-align:center;">
</td>
<td style="text-align:center;">
</td>
</tr>
<tr>
<td style="text-align:left;">
</td>
<td style="text-align:center;">
[1.400, 6.004]
</td>
<td style="text-align:center;">
</td>
<td style="text-align:center;">
</td>
<td style="text-align:center;">
[0.236, 1.093]
</td>
<td style="text-align:center;">
</td>
<td style="text-align:center;">
</td>
</tr>
<tr>
<td style="text-align:left;">
Anti-feminism
</td>
<td style="text-align:center;">
1.594
</td>
<td style="text-align:center;">
1.747
</td>
<td style="text-align:center;">
1.695
</td>
<td style="text-align:center;">
0.609
</td>
<td style="text-align:center;">
0.578
</td>
<td style="text-align:center;">
0.584
</td>
</tr>
<tr>
<td style="text-align:left;">
</td>
<td style="text-align:center;">
[0.769, 3.305]
</td>
<td style="text-align:center;">
[0.876, 3.484]
</td>
<td style="text-align:center;">
[0.802, 3.582]
</td>
<td style="text-align:center;">
[0.241, 1.542]
</td>
<td style="text-align:center;">
[0.235, 1.423]
</td>
<td style="text-align:center;">
[0.229, 1.490]
</td>
</tr>
<tr>
<td style="text-align:left;">
Anti-trans attitudes
</td>
<td style="text-align:center;">
1.305
</td>
<td style="text-align:center;">
1.236
</td>
<td style="text-align:center;">
1.611
</td>
<td style="text-align:center;">
1.063
</td>
<td style="text-align:center;">
1.035
</td>
<td style="text-align:center;">
0.986
</td>
</tr>
<tr>
<td style="text-align:left;">
</td>
<td style="text-align:center;">
[0.631, 2.699]
</td>
<td style="text-align:center;">
[0.599, 2.553]
</td>
<td style="text-align:center;">
[0.812, 3.195]
</td>
<td style="text-align:center;">
[0.496, 2.280]
</td>
<td style="text-align:center;">
[0.483, 2.217]
</td>
<td style="text-align:center;">
[0.473, 2.057]
</td>
</tr>
<tr>
<td style="text-align:left;">
Second class (yes)
</td>
<td style="text-align:center;">
0.653
</td>
<td style="text-align:center;">
0.629
</td>
<td style="text-align:center;">
0.720
</td>
<td style="text-align:center;">
1.484
</td>
<td style="text-align:center;">
1.464
</td>
<td style="text-align:center;">
1.483
</td>
</tr>
<tr>
<td style="text-align:left;">
</td>
<td style="text-align:center;">
[0.314, 1.357]
</td>
<td style="text-align:center;">
[0.301, 1.315]
</td>
<td style="text-align:center;">
[0.347, 1.492]
</td>
<td style="text-align:center;">
[0.736, 2.994]
</td>
<td style="text-align:center;">
[0.718, 2.986]
</td>
<td style="text-align:center;">
[0.739, 2.976]
</td>
</tr>
<tr>
<td style="text-align:left;">
GDR nostalgia
</td>
<td style="text-align:center;">
1.157
</td>
<td style="text-align:center;">
1.182
</td>
<td style="text-align:center;">
1.472
</td>
<td style="text-align:center;">
2.357**
</td>
<td style="text-align:center;">
2.232*
</td>
<td style="text-align:center;">
2.149*
</td>
</tr>
<tr>
<td style="text-align:left;">
</td>
<td style="text-align:center;">
[0.541, 2.473]
</td>
<td style="text-align:center;">
[0.566, 2.468]
</td>
<td style="text-align:center;">
[0.715, 3.029]
</td>
<td style="text-align:center;">
[1.234, 4.502]
</td>
<td style="text-align:center;">
[1.177, 4.233]
</td>
<td style="text-align:center;">
[1.142, 4.042]
</td>
</tr>
<tr>
<td style="text-align:left;">
Dissatisf. with democracy
</td>
<td style="text-align:center;">
5.431**
</td>
<td style="text-align:center;">
4.817**
</td>
<td style="text-align:center;">
5.390**
</td>
<td style="text-align:center;">
3.167**
</td>
<td style="text-align:center;">
3.171**
</td>
<td style="text-align:center;">
2.976**
</td>
</tr>
<tr>
<td style="text-align:left;">
</td>
<td style="text-align:center;">
[1.735, 16.993]
</td>
<td style="text-align:center;">
[1.623, 14.297]
</td>
<td style="text-align:center;">
[1.877, 15.474]
</td>
<td style="text-align:center;">
[1.539, 6.516]
</td>
<td style="text-align:center;">
[1.539, 6.532]
</td>
<td style="text-align:center;">
[1.442, 6.142]
</td>
</tr>
<tr>
<td style="text-align:left;">
Distrust
</td>
<td style="text-align:center;">
2.309***
</td>
<td style="text-align:center;">
2.182***
</td>
<td style="text-align:center;">
2.576***
</td>
<td style="text-align:center;">
1.104
</td>
<td style="text-align:center;">
1.103
</td>
<td style="text-align:center;">
1.033
</td>
</tr>
<tr>
<td style="text-align:left;">
</td>
<td style="text-align:center;">
[1.481, 3.599]
</td>
<td style="text-align:center;">
[1.441, 3.304]
</td>
<td style="text-align:center;">
[1.668, 3.978]
</td>
<td style="text-align:center;">
[0.796, 1.531]
</td>
<td style="text-align:center;">
[0.799, 1.521]
</td>
<td style="text-align:center;">
[0.748, 1.425]
</td>
</tr>
<tr>
<td style="text-align:left;">
Place-based resentment
</td>
<td style="text-align:center;">
1.742*
</td>
<td style="text-align:center;">
1.757*
</td>
<td style="text-align:center;">
1.669+
</td>
<td style="text-align:center;">
1.034
</td>
<td style="text-align:center;">
1.055
</td>
<td style="text-align:center;">
1.008
</td>
</tr>
<tr>
<td style="text-align:left;">
</td>
<td style="text-align:center;">
[1.023, 2.969]
</td>
<td style="text-align:center;">
[1.020, 3.028]
</td>
<td style="text-align:center;">
[0.997, 2.794]
</td>
<td style="text-align:center;">
[0.640, 1.671]
</td>
<td style="text-align:center;">
[0.652, 1.707]
</td>
<td style="text-align:center;">
[0.618, 1.644]
</td>
</tr>
<tr>
<td style="text-align:left;">
Age
</td>
<td style="text-align:center;">
0.988
</td>
<td style="text-align:center;">
0.985+
</td>
<td style="text-align:center;">
0.989
</td>
<td style="text-align:center;">
1.015+
</td>
<td style="text-align:center;">
1.016+
</td>
<td style="text-align:center;">
1.014
</td>
</tr>
<tr>
<td style="text-align:left;">
</td>
<td style="text-align:center;">
[0.971, 1.005]
</td>
<td style="text-align:center;">
[0.968, 1.003]
</td>
<td style="text-align:center;">
[0.973, 1.006]
</td>
<td style="text-align:center;">
[0.997, 1.033]
</td>
<td style="text-align:center;">
[0.998, 1.034]
</td>
<td style="text-align:center;">
[0.996, 1.032]
</td>
</tr>
<tr>
<td style="text-align:left;">
Gender (female)
</td>
<td style="text-align:center;">
0.805
</td>
<td style="text-align:center;">
0.782
</td>
<td style="text-align:center;">
0.788
</td>
<td style="text-align:center;">
0.995
</td>
<td style="text-align:center;">
1.026
</td>
<td style="text-align:center;">
0.963
</td>
</tr>
<tr>
<td style="text-align:left;">
</td>
<td style="text-align:center;">
[0.409, 1.586]
</td>
<td style="text-align:center;">
[0.391, 1.562]
</td>
<td style="text-align:center;">
[0.408, 1.519]
</td>
<td style="text-align:center;">
[0.553, 1.790]
</td>
<td style="text-align:center;">
[0.570, 1.848]
</td>
<td style="text-align:center;">
[0.529, 1.754]
</td>
</tr>
<tr>
<td style="text-align:left;">
Education (no High school diploma)
</td>
<td style="text-align:center;">
1.407
</td>
<td style="text-align:center;">
1.455
</td>
<td style="text-align:center;">
1.570
</td>
<td style="text-align:center;">
0.484*
</td>
<td style="text-align:center;">
0.466*
</td>
<td style="text-align:center;">
0.477*
</td>
</tr>
<tr>
<td style="text-align:left;">
</td>
<td style="text-align:center;">
[0.712, 2.781]
</td>
<td style="text-align:center;">
[0.735, 2.878]
</td>
<td style="text-align:center;">
[0.789, 3.125]
</td>
<td style="text-align:center;">
[0.269, 0.870]
</td>
<td style="text-align:center;">
[0.260, 0.836]
</td>
<td style="text-align:center;">
[0.266, 0.856]
</td>
</tr>
<tr>
<td style="text-align:left;">
Indiv. financial situation (bad)
</td>
<td style="text-align:center;">
0.986
</td>
<td style="text-align:center;">
1.000
</td>
<td style="text-align:center;">
0.922
</td>
<td style="text-align:center;">
0.405*
</td>
<td style="text-align:center;">
0.409*
</td>
<td style="text-align:center;">
0.430*
</td>
</tr>
<tr>
<td style="text-align:left;">
</td>
<td style="text-align:center;">
[0.471, 2.062]
</td>
<td style="text-align:center;">
[0.466, 2.147]
</td>
<td style="text-align:center;">
[0.453, 1.877]
</td>
<td style="text-align:center;">
[0.179, 0.918]
</td>
<td style="text-align:center;">
[0.179, 0.939]
</td>
<td style="text-align:center;">
[0.188, 0.985]
</td>
</tr>
<tr>
<td style="text-align:left;">
Unemployment
</td>
<td style="text-align:center;">
0.673
</td>
<td style="text-align:center;">
0.750
</td>
<td style="text-align:center;">
0.839
</td>
<td style="text-align:center;">
5.053*
</td>
<td style="text-align:center;">
4.639*
</td>
<td style="text-align:center;">
4.931*
</td>
</tr>
<tr>
<td style="text-align:left;">
</td>
<td style="text-align:center;">
[0.083, 5.458]
</td>
<td style="text-align:center;">
[0.081, 6.943]
</td>
<td style="text-align:center;">
[0.121, 5.797]
</td>
<td style="text-align:center;">
[1.106, 23.097]
</td>
<td style="text-align:center;">
[1.031, 20.870]
</td>
<td style="text-align:center;">
[1.114, 21.831]
</td>
</tr>
<tr>
<td style="text-align:left;">
Manual worker
</td>
<td style="text-align:center;">
1.943
</td>
<td style="text-align:center;">
1.974
</td>
<td style="text-align:center;">
1.930
</td>
<td style="text-align:center;">
1.474
</td>
<td style="text-align:center;">
1.492
</td>
<td style="text-align:center;">
1.441
</td>
</tr>
<tr>
<td style="text-align:left;">
</td>
<td style="text-align:center;">
[0.732, 5.161]
</td>
<td style="text-align:center;">
[0.736, 5.295]
</td>
<td style="text-align:center;">
[0.723, 5.154]
</td>
<td style="text-align:center;">
[0.525, 4.137]
</td>
<td style="text-align:center;">
[0.528, 4.213]
</td>
<td style="text-align:center;">
[0.520, 3.997]
</td>
</tr>
<tr>
<td style="text-align:left;">
Econ. deprivation
</td>
<td style="text-align:center;">
1.071
</td>
<td style="text-align:center;">
1.048
</td>
<td style="text-align:center;">
1.129
</td>
<td style="text-align:center;">
1.197
</td>
<td style="text-align:center;">
1.183
</td>
<td style="text-align:center;">
1.194
</td>
</tr>
<tr>
<td style="text-align:left;">
</td>
<td style="text-align:center;">
[0.543, 2.111]
</td>
<td style="text-align:center;">
[0.534, 2.056]
</td>
<td style="text-align:center;">
[0.585, 2.176]
</td>
<td style="text-align:center;">
[0.651, 2.199]
</td>
<td style="text-align:center;">
[0.649, 2.155]
</td>
<td style="text-align:center;">
[0.649, 2.195]
</td>
</tr>
<tr>
<td style="text-align:left;">
Status anxiety
</td>
<td style="text-align:center;">
0.628
</td>
<td style="text-align:center;">
0.625
</td>
<td style="text-align:center;">
0.776
</td>
<td style="text-align:center;">
0.874
</td>
<td style="text-align:center;">
0.839
</td>
<td style="text-align:center;">
0.814
</td>
</tr>
<tr>
<td style="text-align:left;">
</td>
<td style="text-align:center;">
[0.297, 1.329]
</td>
<td style="text-align:center;">
[0.287, 1.362]
</td>
<td style="text-align:center;">
[0.378, 1.595]
</td>
<td style="text-align:center;">
[0.435, 1.754]
</td>
<td style="text-align:center;">
[0.422, 1.668]
</td>
<td style="text-align:center;">
[0.398, 1.662]
</td>
</tr>
<tr>
<td style="text-align:left;">
Economic situation Thuringia (bad)
</td>
<td style="text-align:center;">
1.738
</td>
<td style="text-align:center;">
1.595
</td>
<td style="text-align:center;">
1.705
</td>
<td style="text-align:center;">
1.150
</td>
<td style="text-align:center;">
1.174
</td>
<td style="text-align:center;">
1.149
</td>
</tr>
<tr>
<td style="text-align:left;">
</td>
<td style="text-align:center;">
[0.885, 3.411]
</td>
<td style="text-align:center;">
[0.822, 3.096]
</td>
<td style="text-align:center;">
[0.881, 3.301]
</td>
<td style="text-align:center;">
[0.599, 2.207]
</td>
<td style="text-align:center;">
[0.616, 2.239]
</td>
<td style="text-align:center;">
[0.597, 2.211]
</td>
</tr>
<tr>
<td style="text-align:left;">
Ethnocentrism
</td>
<td style="text-align:center;">
</td>
<td style="text-align:center;">
3.206***
</td>
<td style="text-align:center;">
</td>
<td style="text-align:center;">
</td>
<td style="text-align:center;">
0.630*
</td>
<td style="text-align:center;">
</td>
</tr>
<tr>
<td style="text-align:left;">
</td>
<td style="text-align:center;">
</td>
<td style="text-align:center;">
[1.846, 5.570]
</td>
<td style="text-align:center;">
</td>
<td style="text-align:center;">
</td>
<td style="text-align:center;">
[0.400, 0.991]
</td>
<td style="text-align:center;">
</td>
</tr>
<tr>
<td style="text-align:left;">
Neo-Nazi ideology
</td>
<td style="text-align:center;">
</td>
<td style="text-align:center;">
</td>
<td style="text-align:center;">
1.442
</td>
<td style="text-align:center;">
</td>
<td style="text-align:center;">
</td>
<td style="text-align:center;">
0.626
</td>
</tr>
<tr>
<td style="text-align:left;box-shadow: 0px 1.5px">
</td>
<td style="text-align:center;box-shadow: 0px 1.5px">
</td>
<td style="text-align:center;box-shadow: 0px 1.5px">
</td>
<td style="text-align:center;box-shadow: 0px 1.5px">
[0.812, 2.562]
</td>
<td style="text-align:center;box-shadow: 0px 1.5px">
</td>
<td style="text-align:center;box-shadow: 0px 1.5px">
</td>
<td style="text-align:center;box-shadow: 0px 1.5px">
[0.284, 1.382]
</td>
</tr>
<tr>
<td style="text-align:left;">
Num.Obs.
</td>
<td style="text-align:center;">
963
</td>
<td style="text-align:center;">
963
</td>
<td style="text-align:center;">
963
</td>
<td style="text-align:center;">
963
</td>
<td style="text-align:center;">
963
</td>
<td style="text-align:center;">
963
</td>
</tr>
</tbody>
<tfoot>
<tr>
<td style="padding: 0; " colspan="100%">
<sup></sup> + p &lt; 0.1, * p &lt; 0.05, ** p &lt; 0.01, *** p &lt;
0.001
</td>
</tr>
</tfoot>
</table>
<p>Overall, the results are consistent with the earlier findings from
the main models presented in the manuscript.</p>
<p>The only notable difference: the association between <strong>BSW vote
choice and far-right attitudes</strong>, as well as the
<strong>ethnocentrism subscale</strong>, is <strong>negative and
significant</strong> (though only at the 90% level in the case of the
full far-right attitudes scale).</p>
<p>This may, however, be due to the inclusion of <strong>GDR
nostalgia</strong> as a further control in the far-right attitudes
models.</p>
</div>
</div>
<div id="summary-statistics-all-variables" class="section level1">
<h1>Summary statistics all variables</h1>
<pre class="r"><code># survey design object
tm_all_w &lt;- svydesign(id=~1, weights=~persgew, data = tm_all)

##### functions #####
# function: summary stats for metric vars
my_descriptives &lt;- function(var_name, design_name) {
  list(
    mean = round(svymean(~var_name, design_name, na.rm=T),3),
    quantiles = svyquantile(~var_name, design_name, c(0.25, 0.5, 0.75), na.rm=T),
    sd = round(sqrt(svyvar(~var_name, design_name , na.rm=T)),3)
  )
}

# input in my_descriptives: tm_all_w$variables$var_name

# function: summary stats for categorical/dummy
descriptives_table &lt;- function(var_name, design_name) {
  var_name_new &lt;- as.formula(paste0(&quot;~&quot;, var_name))
  t &lt;- svytable(var_name_new , design_name)
  list(absolute = round(t,0),
       percent = round(prop.table(t)*100,1)
  )
}

# input in descriptives_table: &quot;var_name&quot;


##### NAs #####
# check NA for all vars
## select var we need
tm &lt;- tm_all %&gt;% 
  select(alter, gender, edu_gr, lr, fin_sit, fair_share, status_anx, anti_immigration, anti_feminism, anti_trans, econ_situation_th, second_class, gdr, swd_gr, pol_distrust, RR, afd, bsw, unemployed, manual_worker)

## NA check (unweighted)
colSums(is.na(tm))</code></pre>
<pre><code>##             alter            gender            edu_gr                lr 
##                 0                11                17                79 
##           fin_sit        fair_share        status_anx  anti_immigration 
##                28                68               125               116 
##     anti_feminism        anti_trans econ_situation_th      second_class 
##                95                94               122                79 
##               gdr            swd_gr      pol_distrust                RR 
##               366                34                27               106 
##               afd               bsw        unemployed     manual_worker 
##               219               219                13                 0</code></pre>
<pre class="r"><code>##### Summary satistics #####

## Metric
# Anti-immigrant attitudes
my_descriptives(tm_all_w$variables$anti_immigration, tm_all_w) # pass name as this, otherwise it will not find the varname in the design</code></pre>
<pre><code>## $mean
##           mean     SE
## var_name 2.548 0.0308
## 
## $quantiles
## $var_name
##      quantile ci.2.5 ci.97.5         se
## 0.25      2.0    2.0     2.2 0.05098502
## 0.5       2.6    2.6     2.8 0.05098502
## 0.75      3.2    3.2     3.4 0.05098502
## 
## attr(,&quot;hasci&quot;)
## [1] TRUE
## attr(,&quot;class&quot;)
## [1] &quot;newsvyquantile&quot;
## 
## $sd
##          variance     SE
## var_name    0.818 0.0255</code></pre>
<pre class="r"><code># Far-right attitudes 
my_descriptives(tm_all_w$variables$REX, tm_all_w)</code></pre>
<pre><code>## $mean
##           mean     SE
## var_name 1.965 0.0245
## 
## $quantiles
## $var_name
##      quantile   ci.2.5  ci.97.5         se
## 0.25    1.500 1.500000 1.583333 0.02124288
## 0.5     1.875 1.833333 1.958333 0.03186432
## 0.75    2.375 2.291667 2.500000 0.05310721
## 
## attr(,&quot;hasci&quot;)
## [1] TRUE
## attr(,&quot;class&quot;)
## [1] &quot;newsvyquantile&quot;
## 
## $sd
##          variance     SE
## var_name     0.62 0.0198</code></pre>
<pre class="r"><code># Ethnocentrism subscale
my_descriptives(tm_all_w$variables$Ethno, tm_all_w)</code></pre>
<pre><code>## $mean
##           mean     SE
## var_name 2.495 0.0317
## 
## $quantiles
## $var_name
##      quantile ci.2.5 ci.97.5         se
## 0.25     1.75   1.75    2.00 0.06373198
## 0.5      2.50   2.50    2.75 0.06373198
## 0.75     3.25   3.25    3.50 0.06373198
## 
## attr(,&quot;hasci&quot;)
## [1] TRUE
## attr(,&quot;class&quot;)
## [1] &quot;newsvyquantile&quot;
## 
## $sd
##          variance     SE
## var_name    0.837 0.0272</code></pre>
<pre class="r"><code># Neo-Nazi ideology subscale
my_descriptives(tm_all_w$variables$NSIdeo, tm_all_w)</code></pre>
<pre><code>## $mean
##           mean     SE
## var_name 1.507 0.0225
## 
## $quantiles
## $var_name
##      quantile   ci.2.5  ci.97.5         se
## 0.25 1.000000 1.000000 1.166667 0.04248682
## 0.5  1.333333 1.333333 1.500000 0.04248682
## 0.75 1.666667 1.666667 1.833333 0.04248682
## 
## attr(,&quot;hasci&quot;)
## [1] TRUE
## attr(,&quot;class&quot;)
## [1] &quot;newsvyquantile&quot;
## 
## $sd
##          variance     SE
## var_name    0.558 0.0245</code></pre>
<pre class="r"><code># Political distrust
my_descriptives(tm_all_w$variables$pol_distrust, tm_all_w)</code></pre>
<pre><code>## $mean
##          mean     SE
## var_name 3.34 0.0392
## 
## $quantiles
## $var_name
##      quantile   ci.2.5  ci.97.5         se
## 0.25 2.666667 2.666667 3.000000 0.08497805
## 0.5  3.333333 3.333333 3.666667 0.08497805
## 0.75 4.000000 4.000000 4.333333 0.08497805
## 
## attr(,&quot;hasci&quot;)
## [1] TRUE
## attr(,&quot;class&quot;)
## [1] &quot;newsvyquantile&quot;
## 
## $sd
##          variance     SE
## var_name    1.039 0.0438</code></pre>
<pre class="r"><code># Place-based resentment
my_descriptives(tm_all_w$variables$RR, tm_all_w)</code></pre>
<pre><code>## $mean
##           mean     SE
## var_name 3.028 0.0273
## 
## $quantiles
## $var_name
##      quantile   ci.2.5  ci.97.5         se
## 0.25 2.666667 2.666667 3.000000 0.08497539
## 0.5  3.000000 3.000000 3.333333 0.08497539
## 0.75 3.666667 3.666667 4.000000 0.08497539
## 
## attr(,&quot;hasci&quot;)
## [1] TRUE
## attr(,&quot;class&quot;)
## [1] &quot;newsvyquantile&quot;
## 
## $sd
##          variance     SE
## var_name    0.723 0.0298</code></pre>
<pre class="r"><code># L/R
my_descriptives(tm_all_w$variables$lr, tm_all_w)</code></pre>
<pre><code>## $mean
##           mean     SE
## var_name 3.846 0.0386
## 
## $quantiles
## $var_name
##      quantile ci.2.5 ci.97.5       se
## 0.25        3      3       4 0.254929
## 0.5         4      4       5 0.254929
## 0.75        4      4       5 0.254929
## 
## attr(,&quot;hasci&quot;)
## [1] TRUE
## attr(,&quot;class&quot;)
## [1] &quot;newsvyquantile&quot;
## 
## $sd
##          variance     SE
## var_name    1.096 0.0689</code></pre>
<pre class="r"><code># Age
my_descriptives(tm_all_w$variables$alter, tm_all_w)</code></pre>
<pre><code>## $mean
##            mean     SE
## var_name 55.661 0.6586
## 
## $quantiles
## $var_name
##      quantile ci.2.5 ci.97.5        se
## 0.25       41     40      43 0.7648101
## 0.5        58     57      60 0.7648101
## 0.75       71     70      73 0.7648101
## 
## attr(,&quot;hasci&quot;)
## [1] TRUE
## attr(,&quot;class&quot;)
## [1] &quot;newsvyquantile&quot;
## 
## $sd
##          variance     SE
## var_name   18.546 12.923</code></pre>
<pre class="r"><code>## Categorical
# Anti-feminism
descriptives_table(&quot;anti_feminism&quot;, tm_all_w)</code></pre>
<pre><code>## $absolute
## anti_feminism
## disagree    agree 
##     1404      277 
## 
## $percent
## anti_feminism
## disagree    agree 
##     83.5     16.5</code></pre>
<pre class="r"><code># Anti-trans
descriptives_table(&quot;anti_trans&quot;, tm_all_w)</code></pre>
<pre><code>## $absolute
## anti_trans
## disagree    agree 
##     1342      358 
## 
## $percent
## anti_trans
## disagree    agree 
##     78.9     21.1</code></pre>
<pre class="r"><code># Second class
descriptives_table(&quot;second_class&quot;, tm_all_w)</code></pre>
<pre><code>## $absolute
## second_class
## disagree    agree 
##      816      906 
## 
## $percent
## second_class
## disagree    agree 
##     47.4     52.6</code></pre>
<pre class="r"><code># GDR nostalgia
descriptives_table(&quot;gdr&quot;, tm_all_w)</code></pre>
<pre><code>## $absolute
## gdr
## no nostalgia    nostalgia 
##          885          622 
## 
## $percent
## gdr
## no nostalgia    nostalgia 
##         58.7         41.3</code></pre>
<pre class="r"><code># Dissatisfaction with democracy
descriptives_table(&quot;swd_gr&quot;, tm_all_w)</code></pre>
<pre><code>## $absolute
## swd_gr
##    satisfied dissatisfied 
##          765         1017 
## 
## $percent
## swd_gr
##    satisfied dissatisfied 
##         42.9         57.1</code></pre>
<pre class="r"><code># Individual financial situation
descriptives_table(&quot;fin_sit&quot;, tm_all_w)</code></pre>
<pre><code>## $absolute
## fin_sit
## good  bad 
## 1304  468 
## 
## $percent
## fin_sit
## good  bad 
## 73.6 26.4</code></pre>
<pre class="r"><code># Econ. deprivation
descriptives_table(&quot;fair_share&quot;, tm_all_w)</code></pre>
<pre><code>## $absolute
## fair_share
## yes  no 
## 792 951 
## 
## $percent
## fair_share
##  yes   no 
## 45.4 54.6</code></pre>
<pre class="r"><code># Status anxiety
descriptives_table(&quot;status_anx&quot;, tm_all_w)</code></pre>
<pre><code>## $absolute
## status_anx
##  no yes 
## 921 782 
## 
## $percent
## status_anx
##   no  yes 
## 54.1 45.9</code></pre>
<pre class="r"><code># Economic situation Thuringia 
descriptives_table(&quot;econ_situation_th&quot;, tm_all_w)</code></pre>
<pre><code>## $absolute
## econ_situation_th
## good  bad 
##  883  831 
## 
## $percent
## econ_situation_th
## good  bad 
## 51.5 48.5</code></pre>
<pre class="r"><code># Gender
descriptives_table(&quot;gender&quot;, tm_all_w)</code></pre>
<pre><code>## $absolute
## gender
##   male female 
##    870    935 
## 
## $percent
## gender
##   male female 
##   48.2   51.8</code></pre>
<pre class="r"><code># Education
descriptives_table(&quot;edu_gr&quot;, tm_all_w)</code></pre>
<pre><code>## $absolute
## edu_gr
## Abitur or higher        no Abitur 
##              474             1321 
## 
## $percent
## edu_gr
## Abitur or higher        no Abitur 
##             26.4             73.6</code></pre>
<pre class="r"><code># Occupational status
descriptives_table(&quot;unemployed&quot;, tm_all_w)</code></pre>
<pre><code>## $absolute
## unemployed
##   no  yes 
## 1767   35 
## 
## $percent
## unemployed
##   no  yes 
## 98.1  1.9</code></pre>
<pre class="r"><code>descriptives_table(&quot;manual_worker&quot;, tm_all_w)</code></pre>
<pre><code>## $absolute
## manual_worker
##   no  yes 
## 1566  251 
## 
## $percent
## manual_worker
##   no  yes 
## 86.2 13.8</code></pre>
</div>
<div id="scale-consistency" class="section level1">
<h1>Scale consistency</h1>
<pre class="r"><code>tm &lt;- tm_all

# check scale consistency anti-immigration attitudes
## alpha
psych::alpha(tm[,c(&quot;V12A&quot;, &quot;V12B&quot;, &quot;V12MU&quot;, &quot;V469&quot;, &quot;V356C_rev&quot;)]) # 0.88 </code></pre>
<pre><code>## 
## Reliability analysis   
## Call: psych::alpha(x = tm[, c(&quot;V12A&quot;, &quot;V12B&quot;, &quot;V12MU&quot;, &quot;V469&quot;, &quot;V356C_rev&quot;)])
## 
##   raw_alpha std.alpha G6(smc) average_r S/N    ase mean   sd median_r
##       0.88      0.88    0.86      0.59 7.1 0.0044  2.3 0.82     0.63
## 
##     95% confidence boundaries 
##          lower alpha upper
## Feldt     0.87  0.88  0.89
## Duhachek  0.87  0.88  0.89
## 
##  Reliability if an item is dropped:
##           raw_alpha std.alpha G6(smc) average_r S/N alpha se   var.r med.r
## V12A           0.84      0.84    0.81      0.57 5.3   0.0058 0.00823  0.58
## V12B           0.84      0.83    0.80      0.56 5.0   0.0062 0.00815  0.58
## V12MU          0.85      0.85    0.82      0.59 5.7   0.0054 0.00918  0.58
## V469           0.84      0.84    0.81      0.56 5.2   0.0059 0.01060  0.57
## V356C_rev      0.88      0.88    0.85      0.65 7.5   0.0044 0.00084  0.64
## 
##  Item statistics 
##              n raw.r std.r r.cor r.drop mean   sd
## V12A      1734  0.84  0.84  0.80   0.75  2.3 0.95
## V12B      1729  0.87  0.86  0.83   0.78  2.5 1.12
## V12MU     1678  0.81  0.81  0.75   0.71  1.8 0.96
## V469      1707  0.85  0.85  0.80   0.76  2.4 1.03
## V356C_rev 1686  0.71  0.72  0.60   0.57  2.5 0.90
## 
## Non missing response frequency for each item
##              1    2    3    4 miss
## V12A      0.22 0.33 0.34 0.11 0.05
## V12B      0.26 0.24 0.26 0.24 0.05
## V12MU     0.48 0.30 0.14 0.08 0.08
## V469      0.24 0.31 0.28 0.17 0.06
## V356C_rev 0.12 0.42 0.31 0.16 0.07</code></pre>
<pre class="r"><code>## corrplot
df_immi &lt;- tm %&gt;% 
  select(V12A, V12B, V12MU, V469, V356C_rev)
ggcorr(df_immi,
       method = c(&quot;pairwise&quot;, &quot;spearman&quot;),
       label=T,
       label_round = 2)</code></pre>
<p><img role="img" 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AiUVkAAWtpHq2MECBAgQIAAAQIECBAgQIAAAQIECAhA/QYIECBAgAABAgQIECBAgAABAgQIECitgAC0tI9WxwgQIECAAAECBAgQIECAAAECBAgQEID6DRAgQIAAAQIECBAgQIAAAQIECBAgUFoBAWhpH62OESBAgAABAgQIECBAgAABAgQIECAgAPUbIECAAAECBAgQIECAAAECBAgQIECgtAIC0NI+Wh0jQIAAAQIECBAgQIAAAQIECBAgQEAA6jdAgAABAgQIECBAgAABAgQIECBAgEBpBQSgpX20OkaAAAECBAgQIECAAAECBAgQIECAgADUb4AAAQIECBAgQIAAAQIECBAgQIAAgdIKCEBL+2h1jAABAgQIECBAgAABAgQIECBAgAABAajfAAECBAgQIECAAAECBAgQIECAAAECpRUQgJb20eoYAQIECBAgQIAAAQIECBAgQIAAAQICUL8BAgQIECBAgAABAgQIECBAgAABAgRKKyAALe2j1TECBAgQIECAAAECBAgQIECAAAECBASgfgMECBAgQIAAAQIECBAgQIAAAQIECJRWQABa2kerYwQIECBAgAABAgQIECBAgAABAgQICED9BggQIECAAAECBAgQIECAAAECBAgQKK3AXKXtmY4RIECAAAECBAgQIECgxQVefvnlNGnSpKwXiy22WJprrln7T7iJEyemV155Jbt+4MCBafDgwTOIPPvss2ns2LHppZdeSn379k2LL754WmedddKQIUNmODffMX78+PTGG2/kXzv9XGKJJVKfPvXH37z//vvp9ttvT/fdd1/W32HDhqV11103u5dOK+9wwuOPP57+7//+L+vP1KlTU/R72WWXTWuuuWaaf/75O5ztKwECBAj0BoFZ+7dnbxDRRwIECBAgQIAAAQIECPQQgWOPPTb95Cc/ye7mzDPPTLvtttss3Vlc+7Of/Sy75uyzz0677LJL5foIHL/73e+mG264obIv34ggdIcddki/+tWv0tJLL53vrnz+/ve/T4cffnjle2cbr7/+es3wNa67+OKL00EHHZQiuKwubW1t6fOf/3w64YQT0tChQ6sPzbA9YcKEdPzxx6eTTjopPfroozMcjx3zzDNP+uxnP5sOOeSQLOCteZKdBAgQIFBKgbZp7aWUPdMpAgQIECBAgAABAgQItLjA008/nY1ejBGSG264YRo9enSXexSjH5daaqn0/PPPp4UXXjjFSM9+/fpl119yySXpC1/4Qpo8eXL2PUZIrrDCCtnoy7vuuiu99dZb2f4YiXnTTTelj3zkI9O1G8Hpr3/96+n2zexLvQD0uOOOS9/85jezS+Pe1ltvvTRgwIB05513ZvcdB1ZeeeV06623ZiM5a7URx3bcccf01FNPVQ5HXUsuuWTW3xhFm4+CjRMiWD344IPT0UcfnW1XLrJBgAABAqUVqD8HobRd1jECBAgQIECAAAECBAi0hkAEmNtss012szfeeGN66KGHunzjl19+eSVE3GOPPSrhZ0x1j5GkEX5GMHrFFVdkoy/jM0aDvvjii+mAAw7I2onwcP/995+hzTfffDPbF9PlI1zs7M+gQYNmqCOCywMPPDDbv9FGG2X3cN1116VLL700RfB7xBFHZMceeOCB9NOf/nSG62PHmDFj0qc//elK+LnJJpukUaNGZQHuI488ku69994UfYhRoTHyc955500xBugXv/hFNvq1ZqV2EiBAgEDpBASgpXukOkSAAAECBAgQIECAQJkEvv71r1e68+c//7my3dnGySefnJ0SIx732WefyukxTTwf4XnGGWekLbfcsnIsNuabb74UU9xjNGaUK6+8croRlLFv3Lhx8ZFNa48QtbM/cQ8dy/e+972Uj1KN0DPecZqXmIJ/1FFHZeFm3M/dd9+dH6p8Rggbo1hj+nuUH/3oRykC1K222iqb7l45sX1j+eWXTz//+c+zwDR/t+lvfvObdO2111afZpsAAQIESirgHaAlfbC6RYAAAQIECBAgQIBAOQS23nrrtMwyy6Qnn3wyRWAZ7/Sce+65Z9q5mPYeI0CjRMAZAWBeYkRl//79s6nm8U7MemX77bdPN998czZi8uGHH57uPZz5CNBaIzvr1Ve9//77769M5z/ssMPSAgssUH24sn3RRRdl9xqBaMdyzDHHVEa47rnnnl16J2kshHTaaael7bbbLhsRe/3112cha8e6Z/d7vC4gwtrw3X333bPRp7/73e+yxZ1WX3319OMf/3iGquN5xHtQY+GmCKbjFQAx7f9zn/tcimuqS7ifc8452a5VV101bbzxxtWHZ9iO5/ef//wn2x9hcWfvUp2hAjsIECBQEgEBaEkepG4QIECAAAECBAgQIFBOgVg9PUZw/uAHP8hGYkZYNnLkyJl29vTTT89GV8ZJ1SNI43seoE2ZMiW+1i0R4uWl4wrueQC64IIL5qfM0me8gzRKrGof7++sV+oFo3HvMZI1StxnhKFdLdtuu20WOMZ0+Xr1d7Wujudddtll2UjThRZaKFtEav3110+PPfZYdlq8g7U6AH377bfTvvvum84666yO1WTfjzzyyLTrrrumE088sbJ6fdxvBODPPfdcFpJGkDyz8u1vfzt7f2qM0N17771ndqpjBAgQKLWAKfClfrw6R4AAAQIECBAgQIBAGQTiHZ75qM98anu9fsU7Lk855ZTscLyjMwK/WiWvr9ax2Hfbbbdlh+K8GG1YXeY0AI2RiVFWW221NDshaoy0jIWVosRK8fm09mxHF/4RI0C7O/yMZmOl+SgRbsZrBCL8XGONNbJ7XHvttbNj8Y/33nsve7drHn5GHy688MJ0yy23pBj1mofCcTyO5WsXRxD9pS99KasnRo7GO07rlSeeeCILP+P4LrvsUvn91DvffgIECJRZQABa5qerbwQIECBAgAABAgQIlEJgkUUWyYKw6MzVV19dWfSnVufiPZiPP/54dihG/dWaPl7ruup9EcKdffbZ2a6YXt4xLHzjjTeyYzEFPkYjxqjECFrjvaGbbrppNur0X//6VyW4q647th988MFsV6w8HyUWePriF7+Yrdw+cODAbPX6mLJd7x2dY8eOza6Lf2y22WaV7WZv5KFyLDAVo3CPPfbYdNddd6W//e1v6YQTTqjc3vHHH195BUDYxfH//d//Teuss0429f28886rjGqNxan+8pe/VK6NBazycv755+ebM3yee+65lX1f+cpXKts2CBAg0BsF2tr/Jmlab+y4PhMgQIAAAQIECBAgQKCVBGKF9pi2HeXwww/PFv3JvnT4R4z2i/Args+nnnoqxSjQmZVYwT0CxRiVGNO0I7j85z//mV0S76GMKfOxEFF1iaAvzv/oRz+avZv03XffrT5c2Y5ANEK6JZdcsrIvNiJQHT9+fNpvv/2y0ZvVU8OnO7H9S6xIH6Mpq8s3vvGN9Mc//jHbFaMmIzjsCeXoo49Ohx56aHYrEcxGWN2xxH+CL7vsstmziXd8RkBaa5Go999/P/ONFexj9Oitt95aqSreZRrXrbjiiumhhx6q7K/eGDFiRDZCND7vueee6kO2CRAg0OsEjADtdY9chwkQIECAAAECBAgQaEWBWPBmpZVWym49FvKJFdQ7lpgW/ve//z3bHdO8Ows/48Q77rgjm44dix5FsBjhZ7QVIw9jJGjH8DOmd0f4GSXCt3gH5ze/+c1sgaYIXmM19o985CPZ8ZjqHiNC8ynzsTOCvQg/o0RAGOFnTPMePXp0dt5LL72Uhab56NA//OEPKVZsry75KvSxb/DgwdWHesz2TjvtVPNeYtp6BNNR4pxa4Wcci+nuEUBHiYC6us/5KNBYnCqC0I4l2sinxxv92VHHdwIEeqOAALQ3PnV9JkCAAAECBAgQIECgJQXyBY1ipOaoUaNm6EO8MzIfjZmfO8NJHXbESNFYebw66IzRpnvttVcWPHYMWidNmpTWXXfd7E8EcY888kiKkPLLX/5yFujF6NT77rsv7bzzzllL8R7M//f//l+l1er6IsCL+4wp4BtuuGH2PtBhw4Zl0+EjPF1qqaWy6yJUfeeddyp1VC/KFIFqTywdV3DP7zFWe8/L8OHD06uvvlr3zzLLLJOdGqNGqxc8ilG++asN/vrXv+bVVT7zha5ikan8naGVgzYIECDQCwUEoL3woesyAQIECBAgQIAAAQKtKbD77rtXgspaiyH9+c9/zjq2/PLLpy222KJLnYzzYkTmhAkTssV7rr/++ux9lM8880z6zne+k604X/3mtFhRPMLJ+HPmmWemWPG8Y4nFgE499dTKCNR4H2Y+ajRCuXzUY0ylj3dg1iqxsNH3v//97FCMfowRqXmpHvX58ssv57t71OfQoUNr3k+8ciAvX/3qV1OcV+/P/vvvn5+aXnjhhcr2oosumjbffPPse60ANN4hGmXrrbdO8f5YhQABAr1dQADa238B+k+AAAECBAgQIECAQMsIxKJD+dTqyy67bLpQLN4RmY8u/NrXvlYJGWelczGdPaa/x4rk+bss//GPf2TvAZ2VeuLceeedNwtSYzsCzHzhowg/ox9RYqp8dZiZ7az6R0yfz0v1eyzzKfZxrHp/fm5P+MxHaHa8lzwIjv3R9wgzu/KnYz35NPgYYRuvMchLvBM1VoCPYvp7ruKTAIHeLiAA7e2/AP0nQIAAAQIECBAgQKClBPbdd9/sfiNIi5GVeclHf/br1y/FyMI5LUcccUQWYkY9M1ttfGbt5FPY45x85fjYzvdXT2WP/R1LTIfPy1tvvZVvZtPv8y8RBLdSiZA5L/HO1BjZ2ZU/8Z7U6hLvB41XF0Spfj756u8xMnfbbbetvsQ2AQIEeq2AALTXPnodJ0CAAAECBAgQIECgFQXWWmut9PGPfzy79TPOOCP7nDhxYiUEGzlyZIpp6rVKvC/zySefzFYUf+CBB2qdUtkXIzjzADKmw89OqQ4t87Au6lljjTWy6p5++ulsUaR6dceCS3mpvv4Tn/hEZXr9lVdemTrrS15H/nnwwQenL3zhC5URs/n+Rnzm4W+09fzzz892kxGk7rDDDtn1F1xwQfYZ71fNp8THO1jjVQQKAQIECLQvLAeBAAECBAgQIECAAAECBFpLIF/gKFZhjyngMQoyX1k9P1arR7GQULwfNBYxOuigg2qdUtk3ZcqUlL+vcsEFF6zsv/zyy9MhhxyS4n2k+YJLlYMdNsaMGZPtifd+rrjiipWj+ftJ455vuummyv6OG7fffntl18orr1zZjpGjsWJ9lAh1Y8p/9dTyyok1Nm688cb029/+Npvmv99++9U4o9hdEd7m70DNfWa3xXwafITad999d7ruuuvSiy++mFVn+vvsqrqOAIEyCghAy/hU9YkAAQIECBAgQIAAgVILxCrgCyywQNbHmP6cjwBcbbXV0gYbbFC37wMHDqxMH7/qqqvSvffeW/fcqDNGlkZZZ511KufFNcccc0y2AFIsdFSvxLsor7nmmuxwBJ7VU79j+nb+HtBY4b16kaXq+o4//vjsayyWlIem+fFvfetbWZgb3yPUjNXO8/vNz+n4GYHj9ttvn2KkZIyOPO644zqeUvj3WJToU5/6VNZOPLs8ZK7VcCwQ9cUvfrHuO1g322yztNhii2WXXnrppemiiy7KtldZZZX0yU9+slaV9hEgQKBXCghAe+Vj12kCBAgQIECAAAECBFpZIMLEfPTfOeeck40Ajf7MbPRn3t9Y2T1KhIDbbLNNuuGGG/JD2WeEkTGNOq8rwse99tqrcs4ee+yR8hGhUddZZ501Q4AZ09IjaIy6YrTmkUceWbk+NmI6e77I0tVXX52N4KwOL2Nk6QEHHJCNaIzz99xzzxmm9c8///zZKM78XuKeY2p9rExfPfU+rn/kkUfSgQcemC3wFO8ijRGYJ598cmUqfpzTyHL44YdnzcUI2Hhlweuvvz5D83/5y18ytwii640UDdsIw6OMGjUqRQgaxejPjME/CBAgUBFoa/8X0rTKNxsECBAgQIAAAQIECBAg0BIC9913X4oRn3mJUDTeKZmPDM331/qM6e8xDTwvSy+9dLYie4Si999/f3r55ZezQxEUxijMfOGl/PwI2iK4mzx5crZr8cUXz+4lVj6P1d4ff/zxyvUxyrLWVPNoK+qIVeajDBkyJK2//vrZlPZY0f7VV1/N9q+55ppZSBujV2uVeAVA1BMhZ14iGFxiiSVShKRRT15XHI/A9JRTTqmsUJ9f0x2fRx99dCXYfeqppyqLPdWq+4c//GH66U9/mh2K0bCxYFHcc4S3MaI1X91+xIgR6d///nfd5xrn5e9UjcriGcQ7W4cPH16rWfsIECDQKwUEoL3yses0AQIECBAgQIAAAQJlENhwww2zcCz6svfee6eTTjqpy90677zzshGGDz/8cM1rYqGlmIK91VZb1Tw+duzYFIsJdRxBmp8c7xn9+c9/njbZZJN81wyfEYJGCPirX/2q8g7T/KSYoh4jTyNUrBd+5udOmjQpC2pPOOGE9Nhjj+W7p/scPHhw+vKXv5y9v3TRRRed7lh3fZmVADTajNG7EYQ+8cQTM9xChLcx2jZ8Ogu1IwDNA9PPfOYzKd7TqhAgQIDAhwIC0A8tbBEgQIAAAQIECBAgQKClBGLq9Jtvvpndc6zYXr1Selc7EiNJ472eUVeM+Ix6Pvaxj6XllluuS1U8++yzKcLQl156KZvyHtfHQj/LLLNMl66PkyZMmJAFuREExiTFJZdcMntPZv6e0C5X1H7io48+mvUnRrHGwkgx4jMWYIqRpLEYU5ElnkU+nT1We+9Ke9HfWMAonkGM/uzXr19mFwFy9XtTZ3bf8R7RfBGsCHrjj0KAAAECHwoIQD+0sEWAAAECBAgQIECAAAECBAgQIECAQMkELIJUsgeqOwQIECBAgAABAgQIECBAgAABAgQIfCggAP3QwhYBAgQIECBAgAABAgQIECBAgAABAiUTKPYFKCXD0h0CBAgQIECAAAECBAgQKJdALBjUcZX7We3hyiuvnEaNGjWrlzmfAAECBBokIABtELRmCBAgQIAAAQIECBAgQKDnCUycODE999xzc3RjQ4YMmaPrXUyAAAECxQpYBKlYX7UTIECAAAECBAgQIECAAAECBAgQINBEAe8AbSK+pgkQIECAAAECBAgQIECAAAECBAgQKFZAAFqsr9oJECBAgAABAgQIECBAgAABAgQIEGiigAC0ifiaJkCAAAECBAgQIECAAAECBAgQIECgWAEBaLG+aidAgAABAgQIECBAgAABAgQIECBAoIkCAtAm4muaAAECBAgQIECAAAECBAgQIECAAIFiBQSgxfqqnQABAgQIECBAgAABAgQIECBAgACBJgoIQJuIr2kCBAgQIECAAAECBAgQIECAAAECBIoVEIAW66t2AgQIECBAgAABAgQIECBAgAABAgSaKCAAbSK+pgkQIECAAAECBAgQIECAAAECBAgQKFZAAFqsr9oJECBAgAABAgQIECBAgAABAgQIEGiigAC0ifiaJkCAAAECBAgQIECAAAECBAgQIECgWAEBaLG+aidAgAABAgQIECBAgAABAgQIECBAoIkCAtAm4muaAAECBAgQIECAAAECBAgQIECAAIFiBQSgxfqqnQABAgQIECBAgAABAgQIECBAgACBJgoIQJuIr2kCBAgQIECAAAECBAgQIECAAAECBIoVEIAW66t2AgQIECBAgAABAgQIECBAgAABAgSaKCAAbSK+pgkQIECAAAECBAgQIECAAAECBAgQKFZAAFqsr9oJECBAgAABAgQIECBAgAABAgQIEGiigAC0ifiaJkCAAAECBAgQIECAAAECBAgQIECgWAEBaLG+aidAgAABAgQIECBAgAABAgQIECBAoIkCAtAm4muaAAECBAgQIECAAAECBAgQIECAAIFiBQSgxfqqnQABAgQIECBAgAABAgQIECBAgACBJgoIQJuIr2kCBAgQIECAAAECBAgQIECAAAECBIoVEIAW66t2AgQIECBAgAABAgQIECBAgAABAgSaKCAAbSK+pgkQIECAAAECBAgQIECAAAECBAgQKFZAAFqsr9oJECBAgAABAgQIECBAgAABAgQIEGiigAC0ifiaJkCAAAECBAgQIECAAAECBAgQIECgWAEBaLG+aidAgAABAgQIECBAgAABAgQIECBAoIkCAtAm4muaAAECBAgQIECAAAECBAgQIECAAIFiBQSgxfqqnQABAgQIECBAgAABAgQIECBAgACBJgoIQJuIr2kCBAgQIECAAAECBAgQIECAAAECBIoVEIAW66t2AgQIECBAgAABAgQIECBAgAABAgSaKCAAbSK+pgkQIECAAAECBAgQIECAAAECBAgQKFZAAFqsr9oJECBAgAABAgQIECBAgAABAgQIEGiigAC0ifiaJkCAAAECBAgQIECAAAECBAgQIECgWAEBaLG+aidAgAABAgQIECBAgAABAgQIECBAoIkCAtAm4muaAAECBAgQIECAAAECBAgQIECAAIFiBQSgxfqqnQABAgQIECBAgAABAgQIECBAgACBJgoIQJuIr2kCBAgQIECAAAECBAgQIECAAAECBIoVEIAW66t2AgQIECBAgAABAgQIECBAgAABAgSaKCAAbSK+pgkQIECAAAECBAgQIECAAAECBAgQKFZAAFqsr9oJECBAgAABAgQIECBAgAABAgQIEGiigAC0ifiaJkCAAAECBAgQIECAAAECBAgQIECgWAEBaLG+aidAgAABAgQIECBAgAABAgQIECBAoIkCAtAm4muaAAECBAgQIECAAAECBAgQIECAAIFiBQSgxfqqnQABAgQIECBAgAABAgQIECBAgACBJgoIQJuIr2kCBAgQIECAAAECBAgQIECAAAECBIoVEIAW66t2AgQIECBAgAABAgQIECBAgAABAgSaKCAAbSK+pgkQIECAAAECBAgQIECAAAECBAgQKFZAAFqsr9oJECBAgAABAgQIECBAgAABAgQIEGiigAC0ifiaJkCAAAECBAgQIECAAAECBAgQIECgWAEBaLG+aidAgAABAgQIECBAgAABAgQIECBAoIkCAtAm4muaAAECBAgQIECAAAECBAgQIECAAIFiBQSgxfqqnQABAgQIECBAgAABAgQIECBAgACBJgoIQJuIr2kCBAgQIECAAAECBAgQIECAAAECBIoVEIAW66t2AgQIECBAgAABAgQIECBAgAABAgSaKCAAbSK+pgkQIECAAAECBAgQIECAAAECBAgQKFZAAFqsr9oJECBAgAABAgQIECBAgAABAgQIEGiigAC0ifiaJkCAAAECBAgQIECAAAECBAgQIECgWAEBaLG+aidAgAABAgQIECBAgAABAgQIECBAoIkCAtAm4muaAAECBAgQIECAAAECBAgQIECAAIFiBQSgxfqqnQABAgQIECBAgAABAgQIECBAgACBJgoIQJuIr2kCBAgQIECAAAECBAgQIECAAAECBIoVEIAW66t2AgQIECBAgAABAgQIECBAgAABAgSaKCAAbSK+pgkQIECAAAECBAgQIECAAAECBAgQKFZAAFqsr9oJECBAgAABAgQIECBAgAABAgQIEGiigAC0ifiaJkCAAAECBAgQIECAAAECBAgQIECgWAEBaLG+aidAgAABAgQIECBAgAABAgQIECBAoIkCAtAm4muaAAECBAgQIECAAAECBAgQIECAAIFiBQSgxfqqnQABAgQIECBAgAABAgQIECBAgACBJgoIQJuIr2kCBAgQIECAAAECBAgQIECAAAECBIoVEIAW66t2AgQIECBAgAABAgQIECBAgAABAgSaKDBXE9vWNAECBAgQIECAAAECBEotMO31l1N6Z3yp+6hzvUBg7nlSGjgotfUf2As6q4sECJRRQABaxqeqTwQIECBAgAABAgQI9AiBaQ/elaaNOq9H3IubIDDbAgsNS312OyglAehsE7qQAIHmCpgC31x/rRMgQIAAAQIECBAgQIAAAQIECBAgUKCAALRAXFUTIECAAAECBAgQIECAAAECBAgQINBcAQFoc/21ToAAAQIECBAgQIAAAQIECBAgQIBAgQIC0AJxVU2AAAECBAgQIECAAAECBAgQIECAQHMFBKDN9dc6AQIECBAgQIAAAQIECBAgQIAAAQIFCghAC8RVNQECBAgQIECAAAECBAgQIECAAAECzRUQgDbXX+sECBAgQIAAAQIECBAgQIAAAQIECBQoIAAtEFfVBAgQIECAAAECBAgQIECAAAECBAg0V0AA2lx/rRMgQIAAAQIECBAgQIAAAQIECBAgUKCAALRAXFUTIECAAAECBAgQIECAAAECBAgQINBcAQFoc/21ToAAAQIECBAgQIAAAQIECBAgQIBAgQIC0AJxVU2AAAECBAgQIECAAAECBAgQIECAQHMFBKDN9dc6AQIECBAgQIAAAQIECBAgQIAAAQIFCghAC8RVNQECBAgQIECAAAECBAgQIECAAAECzRUQgDbXX+sECBAgQIAAAQIECBAgQIAAAQIECBQoIAAtEFfVBAgQIECAAAECBAgQIECAAAECBAg0V0AA2lx/rRMgQIAAAQIECBAgQIAAAQIECBAgUKCAALRAXFUTIECAAAECBAgQIECAAAECBAgQINBcAQFoc/21ToAAAQIECBAgQIAAAQIECBAgQIBAgQIC0AJxVU2AAAECBAgQIECAAAECBAgQIECAQHMFBKDN9dc6AQIECBAgQIAAAQIECBAgQIAAAQIFCghAC8RVNQECBAgQIECAAAECBAgQIECAAAECzRUQgDbXX+sECBAgQIAAAQIECBAgQIAAAQIECBQoIAAtEFfVBAgQIECAAAECBAgQIECAAAECBAg0V0AA2lx/rRMgQIAAAQIECBAgQIAAAQIECBAgUKCAALRAXFUTIECAAAECBAgQIECAAAECBAgQINBcAQFoc/21ToAAAQIECBAgQIAAAQIECBAgQIBAgQIC0AJxVU2AAAECBAgQIECAAAECBAgQIECAQHMFBKDN9dc6AQIECBAgQIAAAQIECBAgQIAAAQIFCghAC8RVNQECBAgQIECAAAECBAgQIECAAAECzRUQgDbXX+sECBAgQIAAAQIECBAgQIAAAQIECBQoIAAtEFfVBAgQIECAAAECBAgQIECAAAECBAg0V0AA2lx/rRMgQIAAAQIECBAgQIAAAQIECBAgUKCAALRAXFUTIECAAAECBAgQIECAAAECBAgQINBcAQFoc/21ToAAAQIECBAgQIAAAQIECBAgQIBAgQIC0AJxVU2AAAECBAgQIECAAAECBAgQIECAQHMFBKDN9dc6AQIECBAgQIAAAQIECBAgQIAAAQIFCghAC8RVNQECBAgQIECAAAECBAgQIECAAAECzRUQgDbXX+sECBAgQIAAAQIECBAgQIAAAQIECBQoIAAtEFfVBAgQIECAAAECBAgQIECAAAECBAg0V0AA2lx/rRMgQIAAAQIECBAgQIAAAQIECBAgUKCAALRAXFUTIECAAAECBAgQIECAAAECBAgQINBcAQFoc/21ToAAAQIECBAgQIAAAQIECBAgQIBAgQIC0AJxVU2AAAECBAgQIECAAAECBAgQIECAQHMFBKDN9dc6AQIECBAgQIAAAQIECBAgQIAAAQIFCghAC8RVNQECBAgQIECAAAECBAgQIECAAAECzRUQgDbXX+sECBAgQIAAAQIECBAgQIAAAQIECBQoIAAtEFfVBAgQIECAAAECBAgQIECAAAECBAg0V0AA2lx/rRMgQIAAAQIECBAgQIAAAQIECBAgUKCAALRAXFUTIECAAAECBAgQIECAAAECBAgQINBcAQFoc/21ToAAAQIECBAgQIAAAQIECBAgQIBAgQIC0AJxVU2AAAECBAgQIECAAAECBAgQIECAQHMFBKDN9dc6AQIECBAgQIAAAQIECBAgQIAAAQIFCghAC8RVNQECBAgQIECAAAECBAgQIECAAAECzRUQgDbXX+sECBAgQIAAAQIECBAgQIAAAQIECBQoIAAtEFfVBAgQIECAAAECBAgQIECAAAECBAg0V0AA2lx/rRMgQIAAAQIECBAgQIAAAQIECBAgUKCAALRAXFUTIECAAAECBAgQIECAAAECBAgQINBcAQFoc/21ToAAAQIECBAgQIAAAQIECBAgQIBAgQIC0AJxVU2AAAECBAgQIECAAAECBAgQIECAQHMFBKDN9dc6AQIECBAgQIAAAQIECBAgQIAAAQIFCghAC8RVNQECBAgQIECAAAECBAgQIECAAAECzRUQgDbXX+sECBAgQIAAAQIECBAgQIAAAQIECBQoIAAtEFfVBAgQIECAAAECBAgQIECAAAECBAg0V0AA2lx/rRMgQIAAAQIECBAgQIAAAQIECBAgUKCAALRAXFUTIECAAAECBAgQIECAAAECBAgQINBcAQFoc/21ToAAAQIECBAgQIAAAQIECBAgQIBAgQIC0AJxVU2AAAECBAgQIECAAAECBAgQIECAQHMFBKDN9dc6AQIECBAgQIAAAQIECBAgQIAAAQIFCghAC8RVNQECBAgQIECAAAECBAgQIECAAAECzRUQgDbXX+sECBAgQIAAAQIECBAgQIAAAQIECBQoIAAtEFfVBAgQIECAAAECBAgQIECAAAECBAg0V0AA2lx/rRMgQIAAAQIECBAgQIAAAQIECBAgUKCAALRAXFUTIECAAAECBAgQIECAAAECBAgQINBcAQFoc/21ToAAAQIECBAgQIAAAQIECBAgQIBAgQIC0AJxVU2AAAECBAgQIECAAAECBAgQIECAQHMFBKDN9dc6AQIECBAgQIAAAQIECBAgQIAAAQIFCsxVYN2qJkCAAAECBAgQIECgg8Bbb72V3njjjWzvkCFD0oABAzqcMfOv06ZNS08//XR20txzz50WW2yxmV/QfvT9999PzzzzTHbe/PPPn4YOHdrpNe+9914aM2ZMevjhh9OUKVPS8OHD0/rrr5+GDRvW6bVxwnPPPZduvfXW9NJLL6W4zxVWWCGtt956aZ555unS9U4qj8CTb45PF9z/ZLrjhVfTaxPeTfPN1TetPHRQ2nbFpdIGSy0yRx09fuz9aer707pUx/xzz5X2+vhH6577/PgJ6a/3PZHGPv9KeuWdSalPW1saPnD+tM7iQ9PIVZZJC88/b91rHSBAgACBni3Q1v5/oLr2b4ue3Q93R4AAAQIECBAgQKAlBEaPHp023njj7F532223dOaZZ87SfV933XXp05/+dHbNV7/61XTqqad2ev3RRx+dDj300Oy8kSNHpgsuuGCm10Sdhx12WHrxxRenO69v375p9913T7/73e/SwIEDpzuWf3nwwQfTgQcemK688srU8T81Ijz9yU9+kvbee+/89NJ/vj+m3WHUeaXvZ60OxvM/8vr/pGNuuidNrfOfnVstv3g6a4eN0+D5+tWqYqb7pkx9P833szNmek71wWH9503PH7Rz9a5sO+7zR6PvSkf/+540pf0vC2qVCG2P2XyttN9aK9c6XP59Cw1LfXY7KLUN6dpfgJQfRA8JEGg1ASNAW+2JuV8CBAgQIECAAIGWFthoo43SKqusku6///504YUXpj/84Q9p0KBBXe7Tn//858q5X//61yvb9TbuvffedOSRR9Y7PMP+CEojMI3Sv3//bNRnjNqM0ZyvvvpqFrhGyHn99ddnIzurK4hztthiizR+/Phs97LLLptGjBiRYtRrjCZ9+eWX0z777JONYP3xj39cfantEgocft2d6ej28DNKhI87rrpcWn7wwPTmpMnpkoefTne+8Fq64rHn0v+ce1W6fvfPprn7ztob2qKevET9nY3QHFInZN338jHpz3c+nFUVQecOKy+dVhs6OE1uD1jHPPNyuvLx59LE96amA0bdkuZpv8eZjSLN78cnAQIECPQsAQFoz3oe7oYAAQIECBAgQKAXCERwecABB6SJEyems846K+2///5d6nVMnf/73/+enbvmmmumtddee6bXxdT1L3/5y2ny5MmpT58+2VT4mV1w8cUXV8LPHXbYIZ1yyilp8ODB2SXvvvtu+va3v51OOOGELMyMz+hDXqIvX/ziF7PwM6a8R1Abbeclpu1/4QtfSLfddls2CnSzzTZLm2yySX7YZ8kE7n7x9WzkZ3RrrcUWTqO+tFVacN4PX3/ww40+lr5/9dj065vvTbc+90r6w233pe+sN2KWFN6c9G7l/B9ssEbaf+1VKt+7unFlewCbh58rDlkg/WuXrdLSg6Z/LcWoR59Nnzv/6vRe+1T7Q6+5PX1pxPJpvvbp9AoBAgQItI7ArP0VW+v0y50SIECAAAECBAgQ6LECEQzGuzijVI/o7OyGIyydNGlSdtq+++7b2ekpRln+5z//yUacfuITn5jp+fGe0IMPPjg7J8LV888/vxJ+xs5+/fql4447Lqsrpr9HvdUl7i1/N2m0Wx1+xnlLLbVUuuyyy1K89zTKUUcdlX36RzkFfnPLvSnetRbv0TzzcxtNF37mPf75Zp9MKy+8YPb1t7fc1/4uz9rTz/PzO36Oe3dKZdeC/T4MVys7u7Dxp9sfrJx15uc2niH8jINbf2SJtPsaK2TnvdE+6vTGp1+qXGODAAECBFpDQADaGs/JXRIgQIAAAQIECJRIYMEFF0w77/zBuwjvvvvuNHbs2C71Lg9LF1hggbTLLrvM9Jrbb789/fznP8/OiWn2c8018xFr11xzTXrkkUey8yPAjFGcHUuMIr355pvTuHHj0mmnnTbd4VGjRmXfY7r8fvvtN92x/MvCCy+c8mn7N9xwQ7ZQUn7MZ3kEJk+dmv7x4FNZhzZbdnhaYcgHIWfHHkY4mk8nf/HtiWn0LAaL1VPgq0eXdmxnZt+ntce0MS1/jUUWSp9sH6lar2y89KKVQ7Gok0KAAAECrSUgAG2t5+VuCRAgQIAAAQIESiKQB4HRnTzYnFnXYur4Pfd88D7FWDwp3s9Zr8R09VisKFZyj5GiMd28rT1smlm55JJLssMLLbRQ2nrrreueGuFrrbpitfgoK620Ut0FkuL4lltuGR/ZAkkRgirlE4h3e74z5b2sY5suM3ymHaw+fsOTL8z03I4HuyMAvWjHzdND+49Md+yzfcfqp/vet+p/P9Xb053kCwECBAj0WAEBaI99NG6MAAECBAgQIECgzAKf/OQnU/yJcu6556Z33nlnpt2tDkmrw9NaF/3whz/MFllabrnl0i9/+ctap8ywL0Z2RllvvfVSrPY+q2XChAnZJfVWh8/ri4WR8hILNCnlE7jv5TcqnVp12AfvkK3s6LCx8sKDUh7N31t1XYfTan4dV/UO0EGzOQW+ZsU1dt7RHurmZc3hH7zGIf/ukwABAgR6voAAtOc/I3dIgAABAgQIECBQUoE8yIxV088777y6vYxwND++wQYbpNVWW63uuTfddFP6zW9+ky16dPrpp890pGh1JbGye5QVVvjgXYf//Oc/07bbbpsWXXTRNGDAgBTBZYw8jZGotUpM64/yyiuv1Dpc2Vc9evSZZ56p7LdRHoFnx38QhkePlhhYf6RyHI+V34f1ny820zNvzfwvAbKTqv7x5rsfrgLff5650gX3PZF2vPDaNOKEv6fl/3BB+uTJF6e9Lv13uuaJ56uumvXNVydMSqfe9cEI5zUXHZI+Prz+VPlZr90VBAgQINAIAQFoI5S1QYAAAQIECBAgQKCGQLwHNA8Oq0d4djw1FiSKkDRKHpp2PCe+xyjMr3zlK9lq7wceeGDacMMNa502w76oOx+BGosU7bXXXln4GSHoSy+9lB178sknsxXr11133fSzn/1shjpWXXXVbN+jjz6aXnzxxRmO5zuq33caq9or5RN4feKHq7MPqlr5vV5P83Oqr6t3bvX+6inw/3PuVWnnv1+f/vbAU+mBV8elp8a9ne5qX4n+9LseSVuddUXarv34uPYFjGa1xMJMu/9jdIq2YqTqb7daZ1arcD4BAgQI9AABAWgPeAhugQABAgQIECBAoHcKxErw+Wrpt9xyS6o3JTwPR2MRoZEjR9bF+t73vpcigIz3cP70pz+te17HA7GoUV7OPPPMdMopp6Q999wzG+0Z4egLL7yQYjTp4osvnr2787DDDquMSM2v22677bLNWE0+X3wpP5Z/xgr2P/rRj/KvacqUD1fxruy00fIC77YvgpSXfnN1/p+c+TmT3vvwuvz6mX2+MfHDQPPR199K6yw+NP1i87XShV/4dDp7h43Tt9ZZJeWrw1/+6LNpu/OuSu/NwkrzU6a+n7500Q3piseey24jVq3fYKlFZnZLjhEgQIBADxXo/N9GPfTG3RYBAgQIECBAgACBMghUj+g8+eSTZ+jS/fffn628Hge++tWvpn79+s1wTuyIVdz/+Mc/Zu/vPOOMM9K8885b87xaO2OxpLzESvCxCnyErmuttVY2/T2mwceiSjG9ftCgQdmphx56aDbSNL/u85//fGVqfqw6H+8hzUeVxjl33XVX2nzzzdMDDzyQYqGlKLPzrtHsQv8g0C4wZP5+7dPRh6RPtP85bbsN0017/E86aL3V0udWWjrtuNpy6ddbrpPu3XeHtOrQD36zNz3zcjr5zoe6ZBejUT9z9hXpwvufzM7/wQZrpO+uP6JL1zqJAAECBHqegAC05z0Td0SAAAECBAgQINCLBFZZZZW00UYbZT0+66yzUqzgXl3y0Z/x7syvfe1r1Ycq22+99VbaY489stGZhxxySFp77bUrx7qyMc8881ROi1Gm3//+9yvfqzeWXnrp9I1vfCPbFVPiq6ezR5j517/+NQ0bNiw7HiNQo67o32KLLZbWXHPNLMiNkDbeKRolVpRXyicwb9UiWl0Z1TlxygcjP+ebe65Zwjhqk4+n2/baLt3a/me3NT5S89rhA+dPZ39+k8qxrgSgd7dPnV/r5EvS9U+9mE17//WWa6cfbfrxSh02CBAgQKD1BASgrffM3DEBAgQIECBAgEDJBPbdd9+sR6+//nr629/+Vund5MmTU0xJj7LFFluk5ZdfvnKseiPe9/n0009nIeMRRxxRfaiyPW3atMp2x43Bgz9cqXuNNdZIc889d8dTKt833XTTyvbdd99d2Y6NlVdeOd1xxx1pp512ShGqxpT3GPEZ7wSNxZuuvfbabBTryy+/nF0XU+qV8gkMmf/D0cfV7+ms19P83Z8Lz1d7dHO967q6f7X2lehjlGiUe156I70zuf6rFy575Jm04emXZe8Q7d8eyF74xU+3T6X/4P22XW3PeQQIECDQ8wRm7a/Yet79uyMCBAgQIECAAAECLS8Q08eHDh2araAeIz532WWXrE8XXXRReu2117Lt6qny1R2++eab02mnnZbtGjFiRDr66KOrD1e28xXXY0p9/h7OWCQpAs355puv0n5n09LjPvMSI087liWWWCKde+652YJMMZ0+ptfHCvL5tPcnnngiC0bjunhXqVI+gaUX/HDl91jZ/WPtK6fXK2+3h5Gv/XfRpGUGD6x32hzvX27wAumOFz7431K013+eGUP+M9oXTNr7nzel99v/smDpBQekf+y4WRqxyAeva5jjG1ABAQIECDRVQADaVH6NEyBAgAABAgQIEEjZaMmYwn7MMcek66+/PhvNudRSS2ULD4VPjJTcdttta1JVr7iejxateeJ/d0YAeuSRR2bfYjGjfERnjPy8+uqrUwSUMytvv/125fDAgfUDq1jgKersWEaPHl3Z9alPfaqybaM8AiOGfRga3vPS62nbFZeq27lYqT0va84kKM3Pmd3PiVM+fM/t/DWm2p99z2Npz0v/nVW/1mILp0t22iIN7f/hSNbZbdd1BAgQINAzBASgPeM5uAsCBAgQIECAAIFeLrDPPvukX/ziF9l7PC+44IJs0aEIJKPstddeaa65av9f9xVWWCF997vf7VTvnHPOSc8//3xaccUVU75ie0xLz0tMsY/2YtTmY489Vne6/e23355fkk15r3z570aMNI3Atk+f2m/bivecRonp/PF+UKV8AmssulAa0j6dPUZaXtm+gvphG36sbifjeF42X3axfLPTz3GTJre/o/OF9My4d9LK7YscbTaTa+P1D/958YPRn4PmnSctXDVFPxoa3f6uzz0vvTFr81NLDkuX77JlzRGind6UEwgQIECgxwrU/n9RPfZ23RgBAgQIECBAgACBcgost9xyaauttkqjRo1K559/flpwwQWz6eMxJX3vvfeu2+nVVlst/fKXv6x7PD8wZsyYLABdffXVa57/pS99KVu5fcqUKemoo46qvHs0vz4+Yzr7iSeemO2KKe3rrrtu5fAVV1yRRo4cmWKE6CWXXFJzxOqVV16ZhaxxUb0p/ZUKbbSsQJ/2Bbt2XHW59MfbH0ix8vpd7eFjrWmeRPaYAABAAElEQVTwE9pHZZ5618NZP1dpDzHX/O97OrvS8XenTk0j/3ptijfbxrX/2Wf71LdO6H7Rg0+l58ZPyKrdavnp3zv75qR305f+fn167/1pacUhC6SLd9pc+NmVB+AcAgQItJhA7b+WbbFOuF0CBAgQIECAAAECZRDIQ8FYXf23v/1t1qWY+t6IxYKijXyF97/85S/pBz/4QYowNC/xvs9dd901xRT6KN/+9rezqfv58Xif6LzzfjBlOOqJxY+qyzXXXJMtjhT7YvRn3lb1ObbLI3DQequmefp+8J+bu/9jdHr5nYnTdW7K1PfT3u1Tzl98+4P9h20w4+sSnm1/f+jaf74k+7PvZWOmu35Y//nSDistne27/5U30wGjbklRZ8dy87Mvp6+1v9czSlv7n++st1q2nf/jx6PvSi/89x5O336jNGjeYhZiytvzSYAAAQLNEWhrnw4Qf2mmECBAgAABAgQIECDQZIGp7aPaYsGgfMGiuJ0YERojQ+e0xPs2YxRojNKMKfa1ysSJE9OWW26Z/v3vf2eHhw8fntZee+1s0aK4dvz48dn+mC5/2WWXzbBa/HnnnZct4BT/iREjV2OE6CKLLJIeffTRdM8992TXDhkyJF133XUpFmzqDeX9MVemaaPO6w1dnaGPx912fzrwiluz/YPbp57HqNDlFxqYXnlnUopRmY+8/sEiWiNXWSad97+bznD9o+3HVzr+b9n+jZdeNF3z5c9Md84z495O657yz/TSf8PVZQYNSNt/dKm0xAL9U4wuveXZV9KoR5/NRonGhT/Z9OPpkKqgNd4LOvRX56RJ701NfdtHrcZU+q6UWFH+lO027Mqp5TlnoWGpz24HpbYhw8rTJz0hQKBXCZgC36set84SIECAAAECBAj0ZIF8uvsRRxyR3WaMlIxAslElVoO/6qqrUiyO9Mc//jG98MIL6eKLL640P2DAgPStb30rxf3NPfeMq2jvtNNO2btKY3Tos88+m2666YORd1FBW3vA9NnPfjYde+yxWchbqdRGaQX2X3uV9uee0vevvj290f7Ozj/d8eAMfd3r4yumP2z94asUZjhhJjuWbF+pffRXPpu+cvGNKUZ6Pvnm2+n3t34wQrn6soXa30f6i83XSl/52ArVu7OQNMLPKFPbQ/t7X35juuP1vizUHuYqBAgQINBaAkaAttbzcrcECBAgQIAAAQIlF5g0aVIWPEY3I3AcOnRot/Q4FkB69913U//+/dOwYZ2P4oop7zESNEajxoJGyyyzTFp//fWz6zu7oRjJGoslPfjgg2nChAlp4YUXzkaDLrnkkp1dWrrjvXkEaP4wX3x7Qjrv3ifSrc+9kl6bMCkN7Dd3Wn2RhdLIlZdJqw4bnJ82w2csdHTaXY9k+2NUZ4wUrVdueual9K9Hnk0PvTYuxXX95uqblmy/ZoOlFslGhfafZ8bAflL7O23/dPtD9aqsu3+JBeZvv5dl6x4v5QEjQEv5WHWKQG8SEID2pqetrwQIECBAgAABAgQINFRAANpQbo0VJSAALUpWvQQINEjAIkgNgtYMAQIECBAgQIAAAQIECBAgQIAAAQKNFxCANt5ciwQIECBAgAABAgQIECBAgAABAgQINEhAANogaM0QIECAAAECBAgQIECAAAECBAgQINB4AQFo4821SIAAAQIECBAgQIAAAQIECBAgQIBAgwQEoA2C1gwBAgQIECBAgAABAgQIECBAgAABAo0XEIA23lyLBAgQIECAAAECBAgQIECAAAECBAg0SEAA2iBozRAgQIAAAQIECBAgQIAAAQIECBAg0HgBAWjjzbVIgAABAgQIECBAgAABAgQIECBAgECDBASgDYLWDAECBAgQIECAAAECBAgQIECAAAECjRcQgDbeXIsECBAgQIAAAQIECBAgQIAAAQIECDRIQADaIGjNECBAgAABAgQIECBAgAABAgQIECDQeAEBaOPNtUiAAAECBAgQIECAAAECBAgQIECAQIMEBKANgtYMAQIECBAgQIAAAQIECBAgQIAAAQKNFxCANt5ciwQIECBAgAABAgQIECBAgAABAgQINEhAANogaM0QIECAAAECBAgQIECAAAECBAgQINB4AQFo4821SIAAAQIECBAgQIAAAQIECBAgQIBAgwQEoA2C1gwBAgQIECBAgAABAgQIECBAgAABAo0XEIA23lyLBAgQIECAAAECBAgQIECAAAECBAg0SEAA2iBozRAgQIAAAQIECBAgQIAAAQIECBAg0HgBAWjjzbVIgAABAgQIECBAgAABAgQIECBAgECDBASgDYLWDAECBAgQIECAAAECBAgQIECAAAECjRcQgDbeXIsECBAgQIAAAQIECBAgQIAAAQIECDRIQADaIGjNECBAgAABAgQIECBAgAABAgQIECDQeAEBaOPNtUiAAAECBAgQIECAAAECBAgQIECAQIMEBKANgtYMAQIECBAgQIAAAQIECBAgQIAAAQKNFxCANt5ciwQIECBAgAABAgQIECBAgAABAgQINEhAANogaM0QIECAAAECBAgQIECAAAECBAgQINB4AQFo4821SIAAAQIECBAgQIAAAQIECBAgQIBAgwQEoA2C1gwBAgQIECBAgAABAgQIECBAgAABAo0XEIA23lyLBAgQIECAAAECBAgQIECAAAECBAg0SEAA2iBozRAgQIAAAQIECBAgQIAAAQIECBAg0HgBAWjjzbVIgAABAgQIECBAgAABAgQIECBAgECDBASgDYLWDAECBAgQIECAAAECBAgQIECAAAECjRcQgDbeXIsECBAgQIAAAQIECBAgQIAAAQIECDRIQADaIGjNECBAgAABAgQIECBAgAABAgQIECDQeAEBaOPNtUiAAAECBAgQIECAAAECBAgQIECAQIMEBKANgtYMAQIECBAgQIAAAQIECBAgQIAAAQKNFxCANt5ciwQIECBAgAABAgQIECBAgAABAgQINEhAANogaM0QIECAAAECBAgQIECAAAECBAgQINB4AQFo4821SIAAAQIECBAgQIAAAQIECBAgQIBAgwQEoA2C1gwBAgQIECBAgAABAgQIECBAgAABAo0XEIA23lyLBAgQIECAAAECBAgQIECAAAECBAg0SEAA2iBozRAgQIAAAQIECBAgQIAAAQIECBAg0HgBAWjjzbVIgAABAgQIECBAgAABAgQIECBAgECDBASgDYLWDAECBAgQIECAAAECBAgQIECAAAECjRcQgDbeXIsECBAgQIAAAQIECBAgQIAAAQIECDRIQADaIGjNECBAgAABAgQIECBAgAABAgQIECDQeAEBaOPNtUiAAAECBAgQIECAAAECBAgQIECAQIMEBKANgtYMAQIECBAgQIAAAQIECBAgQIAAAQKNFxCANt5ciwQIECBAgAABAgQIECBAgAABAgQINEhAANogaM0QIECAAAECBAgQIECAAAECBAgQINB4AQFo4821SIAAAQIECBAgQIAAAQIECBAgQIBAgwQEoA2C1gwBAgQIECBAgAABAgQIECBAgAABAo0XEIA23lyLBAgQIECAAAECBAgQIECAAAECBAg0SEAA2iBozRAgQIAAAQIECBAgQIAAAQIECBAg0HgBAWjjzbVIgAABAgQIECBAgAABAgQIECBAgECDBASgDYLWDAECBAgQIECAAAECBAgQIECAAAECjRcQgDbeXIsECBAgQIAAAQIECBAgQIAAAQIECDRIQADaIGjNECBAgAABAgQIECBAgAABAgQIECDQeAEBaOPNtUiAAAECBAgQIECAAAECBAgQIECAQIMEBKANgtYMAQIECBAgQIAAAQIECBAgQIAAAQKNF5ir8U1qkQABAgQIECBAgAABAgQIECBAoJUEpkyZktra2tJcc81ZlDRp0qR07733prfeeistuuiiaeWVV87qbSUL99p6AkaAtt4zc8cECBAgQIAAAQIECBAgQIAAgYYIPPnkk2mTTTZJ88wzT1pzzTVnu80IPr/1rW+lIUOGpLXWWittttlmadVVV01LLrlkOu2002a7XhcS6IrAnMX2XWnBOQQIECBAgAABAgQIECBAgAABAi0ncOqpp6YDDzwwjR8/fo7ufdq0aenzn/98+te//pUWWWSR9PWvfz0b/Xnfffelc889N+2xxx5p4sSJab/99pujdlxMoJ6AALSejP0ECBAgQIAAAQIECBAgQIAAgV4o8P7776cddtghXXLJJWnEiBFpl112SYceeuhsS5x33nlZ+BmjPceOHZuFoHllu+66a9pyyy3TwQcfnEaOHJmGDRuWH/JJoNsETIHvNkoVESBAgAABAgQIECBAgAABAgRaX2Dq1KlZ+HnAAQek2267LQtB56RXf/rTn7LLDz/88OnCz9i5+eabp+222y5NmDAhnXHGGXPSjGsJ1BUQgNalcYAAAQIECBAgQIAAAQIECBAg0PsE+vTpky6//PL0+9//Ps0777wpprDPbnn77bfTTTfdlF0eQWetku8fNWpUrcP2EZhjAQHoHBOqgAABAgQIECBAgAABAgQIECBQHoG+ffumz3zmM5UOxervs1vuv//+FCNKY2p7vP+zVll99dWz3XfffXetw/YRmGMBAegcE6qAAAECBAgQIECAAAECBAgQIECglsBzzz2X7V5sscVqHc72DR8+PPt87bXX0rvvvlv3PAcIzK6ARZBmV851BAgQIECAAAECBAgQIECAQKkFpj77QXg3005OmpTa54jP9JRuOxgjMdunpHdW+i7WHii2T2PvCSVfQX7AgAF1b6d///6VY3F+v379Kt9tEOgOAQFodyiqgwABAgQIECBAgAABAgQIECiXwOTJaepDD3Xap7e/vn96/9HHOj2vO07os+QSacBpJ3daVZ8FBqa2BRbo9LxGnBArykeJ94rWKzHlPi/5+fl3nwS6Q0AA2h2K6iBAgAABAgQIECBAgAABAgRKJzB+8//pUp/a0ocBXpcumM2Tpj3zQurKPS007sXZbKH7L5tvvvmySifFSNk6ZeLEiZUjseiSQqC7BQSg3S2qPgIECBAgQIAAAQIECBAgQKAUAm1z1R+12LM7OPuLFnV3v4YOHZpVGe/3rFdeeeWV7FCEpQv0kJGr9e7V/tYUEIC25nNz1wQIECBAgAABAgQIECBAgEDRAvO1aADac/LPtOKKK2ZP6emnn84WOKr1fs8HH3wwO2ellVYq+omqv5cKtOj/knvp09JtAgQIECBAgAABAgQIECBAoGECbX3bUiv+aRhQFxpaYokl0rLLLpumTJmSbrrppppXXHvttdn+TTbZpOZxOwnMqYAAdE4FXU+AAAECBAgQIECAAAECBAiUU2Du9tikFf806WmMGzcuxVT36nd6xq3suuuu2R39/ve/n+HOYvr72Wefne3fbbfdZjhuB4HuEDAFvjsU1UGAAAECBAgQIECAAAECBAiUS6B9GnnrvgN0zh7Fww8/nB566KFKJWPHjs22x48fny699NLK/gEDBqRNN9208n2LLbZIce5RRx2VjjjiiMr+Aw88MJ144onpkksuSd/85jfTIYcckoYPH57uvPPOtO+++6YITnfeeee05pprVq6xQaA7BQSg3ampLgIECBAgQIAAgW4RmPbKCym9/Va31KUSAk0T6Dd/alt+1dT2lYObdgsaJtAtAn36pGntf3rQayW7pVtdqqRPr+x1Ouecc7IQs6PRU089lbbbbrvK7o9+9KMpf39nZWeNjYUWWigLTrfddtt03HHHZX+qT/v0pz+dTjrppOpdtgl0q4AAtFs5VUaAAAECBAgQINAdAtP+b2yadsHJ3VGVOgg0T+Cjq6e29TdL6d+XNe8etEygOwQGLZzadti7O2pquTra5m7RAHQObztGdfbt27fT5zVkyJDpzvna176WIuSs9S7PtddeOwtLzzjjjDRmzJgUo0nj/aDbbLNN2n777VNb2xze9HR34guB6QXaprWX6Xf5RoAAAQIECBAgQKC5Au9fe4kAtLmPQOvdISAA7Q5FdfQEgf8GoG2DF+4Jd9O4e2hftGfcSks0rr1ubGmBux9NbQMGdmONqiLQ2gJGgLb283P3BAgQIECAAAECBAgQIECAQFEC7avAKwQItL6AALT1n6EeECBAgAABAgQIECBAgAABAgUI9Onbvgq8QoBAywsIQFv+EeoAAQIECBAgQIAAAQIECBAgUIhAL10EqRBLlRJoooAAtIn4miZAgAABAgQIECBAgAABAgR6sEDLjgA1db8H/6rcWhMEBKBNQNckAQIECBAgQIAAAQIECBAg0PMF2lp1BKj8s+f/uNxhQwUEoA3l1hgBAgQIECBAgAABAgQIECDQMgJ9+rbMrbpRAgTqCwhA69s4QoAAAQIECBAgQIAAAQIECPRigTb5Zy9++rpeJgEBaJmepr4QIECAAAECBAgQIECAAAEC3SfQqlPgu09ATQRKISAALcVj1AkCBAgQIECAAAECBAgQIECg2wX69On2KlVIgEDjBQSgjTfXIgECBAgQIECAAAECBAgQINACAm0C0BZ4Sm6RQOcCAtDOjZxBgAABAgQIECBAgAABAgQI9EKBVg1ALQLfC3+sujxTAQHoTHkcJECAAAECBAgQIECAAAECBHqtQF9RYq999jpeKgEBaKkep84QIECAAAECBAgQIECAAAEC3SLQnn22tbVoANqit90tz00lBGoICEBroNhFgAABAgQIECBAgAABAgQIEEjeAepHQKAUAgLQUjxGnSBAgAABAgQIECBAgAABAgS6XaCPoZTdbqpCAk0QEIA2AV2TBAgQIECAAAECBAgQIECAQM8XaOvbp+ffZM07FNzWZLGz1woIQHvto9dxAgQIECBAgAABAgQIECBAYKYCba0agM60Vw4S6HUCAtBe98h1mAABAgQIECBAgAABAgQIEOiSgCnwXWJyEoGeLiAA7elPyP0RIECAAAECBAgQIECAAAECzREQgDbHXasEullAANrNoKojQIAAAQIECBAgQIAAAQIEyiHQZhX4cjxIvej1AgLQXv8TAECAAAECBAgQIECAAAECBAjUFBCA1mSxk0CrCQhAW+2JuV8CBAgQIECAAAECBAgQIECgMQIWQWqMs1YIFCwgAC0YWPUECBAgQIAAAQIECBAgQIBAiwq06jtA21rU220TKEhAAFoQrGoJECBAgAABAgQIECBAgACB1hbo06oBaGuzu3sC3S4gAO12UhUSIECAAAECBAgQIECAAAECpRDwDtBSPEadICAA9RsgQIAAAQIECBAgQIAAAQIECNQSaOtba699BAi0mIAAtMUemNslQIAAAQIECBAgQIAAAQIEGiHQ/iLNlp0C7yWgjfiFaKN1BASgrfOs3CkBAgQIECBAgAABAgQIECDQSIG+gsRGcmuLQFECAtCiZNVLgAABAgQIECBAgAABAgQItLRAm3eAtvTzc/MEcgEBaC7hkwABAgQIECBAgAABAgQIECBQLdDWp/qbbQIEWlRAANqiD85tEyBAgAABAgQIECBAgAABAgUL9LEIUsHCqifQEAEBaEOYNUKAAAECBAgQIECAAAECBAi0nIABoC33yNwwgVoCAtBaKvYRIECAAAECBAgQIECAAAECBFr1HaDWbvLbJTCdgAB0Og5fCBAgQIAAAQIECBAgQIAAAQL/FegjSfRbIFAGAQFoGZ6iPhAgQIAAAQIECBAgQIAAAQLdL2ARpO43VSOBJggIQJuArkkCBAgQIECAAAECBAgQIECgBQTaLILUAk/JLRLoVEAA2imREwgQIECAAAECBAgQIECAAIFeJxCz3/uaAt/rnrsOl1JAAFrKx6pTBAgQIECAAAECBAgQIECAwBwL9G3VZeAFt3P87FVQKgEBaKkep84QIECAAAECBAgQIECAAAEC3SfQqgFo9wmoiUAZBASgZXiK+kCAAAECBAgQIECAAAECBAh0v0Cf3v0O0Lvvvjv96U9/SmPHjk3jx49Piy66aNpiiy3SN77xjTR48OAue992223ppJNO6vT8Y489Ns0333ydnucEArMqIACdVTHnEyBAgAABAgQIECBAgAABAr1DoBcPAD399NPTXnvtlaZOnZoWWGCBtPDCC6ebb745jR49Op144onpuuuuSx/5yEe69DuIIPWUU07p9Nxf/epXAtBOlZwwOwIC0NlRcw0BAgQIECBAgAABAgQIECBQfoE+vTMBfeCBB9I+++yTPd8YubnHHnukvn37pjfffDPtv//+6eyzz0477rhjuv3221NbW+fvGx03blxW184775wOOeSQur+bCFoVAkUICECLUFUnAQIECBAgQIAAAQIECBAg0PoCrRqAdp5JzvTZHHPMMWnKlCnpgAMOSHvvvXfl3EGDBqVTTz01Gwl65513pssvvzxts802leP1NiI4jbLccsul1Vdfvd5p9hMoTKB3/lVGYZwqJkCAAAECBAgQIECAAAECBEojEAFoK/6ZgwcQU97/8Y9/ZDXEFPiOZZ555km77rprtvvCCy/seLjm9zwAXXDBBWset5NA0QJGgBYtrH4CBAgQIECAAAECBAgQIECgNQXaet+4sYceeijFlPUBAwak1VZbreZzW2+99bL98U7QrpQ8AI0RpAqBZggIQJuhrk0CBAgQIECAAAECBAgQIECg5wv0mcO55D2/hzPc4eOPP57tW3rppeu+33PZZZfNznniiSdmuL7WjjfeeCPbHSNAb7zxxmzq/AsvvJD69++fPvGJT6SRI0dmCy3VutY+At0hIADtDkV1ECBAgAABAgQIECBAgAABAqUTaGtf+Ke3lddffz3r8uDBg+t2PR/JOXny5PT2229no0Xrntx+IF8E6Xvf+1566qmnZjg19p911llp6623nuGYHQS6Q0AA2h2K6iBAgAABAgQIECBAgAABAgRKJ9D2zZ922qdp5x6f0qsvdHpet5wwaOHUttuBXahq9keuRqgZJd71Wa9UH3v33Xc7DUDzEaDvvPNO+t3vfpc+85nPZNfcd9996Sc/+UkaPXp02mGHHdLYsWPrTruvdy/2E+iKgAC0K0rOIUCAAAECBAgQIECAAAECBHqdwLRzjuu8z+PaR0z2adBI0bfHpa7cU9veP+j8vuucMddcH0RFsRhSvfLee+9VDuXnV3bU2DjxxBPTxIkT04gRI9Kiiy5aOWOxxRZLm266adp4443TmDFj0o9//ON0/vnnV47bINBdAgLQ7pJUDwECBAgQIECAAAECBAgQIFAugbde7bw/Mdiy7+yPuOy8geozpqXUlXuqvmQWt/OV2t966626V+aLGvVtf0XAwIED656XH9hggw3yzRk+I0D9zne+kwWgV1111QzH7SDQHQIC0O5QVAcBAgQIECBAgAABAgQIECBQMoH2ULMXrgIfix9FeeaZZ+o+z/w9nnFunz596p7X1QMrrLBCdmpMlY/RpV0ZVdrVup1HIAQEoH4HBAj8f/buA7CKKl3g+Bc6oYeQ0HtvUqQI4iJFUWyogAVXVwW7a9331rKuq/tUXLCtq2sXRUUUGyJVigLSe5Xee+ghQJJ3vpPMzU1yaxq3/I97c+fOnDkz85shm3z5zjkIIIAAAggggAACCCCAAAIIeBIogOCep2ZDeV2rVq2kTJkycuDAAdmyZYvUr18/1+nOnz/fruvcuXOubd5WpKene51V/uDBg3Y3nRWe4Kc3QdbnRyD/Yfr8HJ19EUAAAQQQQAABBBBAAAEEEEAAgVAViDFje4blK++gpUuXds3G/sUXX+RqSAOZn3/+uV1/zTXX5Nqec4UGS2vXri0JCQly8uTJnJvt52+//da+d+3a1eN2ViKQXwECoPkVZH8EEEAAAQQQQAABBBBAAAEEEIhMAR3bMxxf+bwbjzzyiG3hxRdflGXLlmVr7f/+7/9k5cqV0qhRI7n22muzbXviiSdk0KBB8tVXX7nWt2vXTjRoqhml9957r5w5c8a1TRc0+Pmf//zHrrvvvvuybeMDAgUlQBf4gpKkHQQQQAABBBBAAAEEEEAAAQQQiCwBzf6MwtKjRw87MdGIESNEu7n369dPEhMTZfHixbJo0SKJjY2VTz75REqWLJlNZ+rUqbJgwQJp3bq1a32pUqXkww8/lKuuuko+/vhjmTZtmvTs2dN2s1+xYoXMmzfP1tXg54ABA1z7sYBAQQoQAC1ITdpCAAEEEEAAAQQQQAABBBBAAIHIEYjCMUCdm/evf/1LmjVrJi+//LJ8//33drUGPC+77DLRzNC2bds6VV3v8fHxUqNGjVwzw19yySU20Pnss8/KxIkT5dNPP7X76ARKXbp0kYcfflgGDx7saocFBApagABoQYvSHgIIIIAAAggggAACCCCAAAIIRIZA2AZATdf9AihDhw4VfekkRcePH7dZoDpBkrcyYcIEb5vkvPPOk3Hjxklqaqrs2bPHzvau44KWLVvW6z5sQKCgBAiAFpQk7SCAAAIIIIAAAggggAACCCCAQGQJFIvOLvA5b2LVqlVFXwVRihcvLrVq1SqIpmgDgYAFCIAGTEVFBBBAAAEEEEAAAQQQQAABBBCIKoGYgsmkjCozLhaBEBQgABqCN4VTQgABBBBAAAEEEEAAAQQQQACBcyygsU+TrUhBAIHwFyAAGv73kCtAAAEEEEAAAQQQQAABBBBAAIHCECADtDBUaROBIhcgAFrk5BwQAQQQQAABBBBAAAEEEEAAAQTCQiCGDNCwuE+cJAJ+BAiA+gFiMwIIIIAAAggggAACCCCAAAIIRKlA8TAdAzRMTztKnzIuuwgECIAWATKHQAABBBBAAAEEEEAAAQQQQACBMBQgAzQMbxqnjEBuAQKguU1YgwACCCCAAAIIIIAAAggggAACCJhJkEil5DFAIBIECIBGwl3kGhBAAAEEEEAAAQQQQAABBBBAoBAEwnUMUAK3hfAw0GQYCxAADeObx6kjgAACCCCAAAIIIIAAAggggEAhChQrVoiN0zQCCBSVAAHQopLmOAgggAACCCCAAAIIIIAAAgggEF4CxcI1AzS8mDlbBApbgABoYQvTPgIIIIAAAggggAACCCCAAAIIhKcAY4CG533jrBHIIUAANAcIHxFAAAEEEEAAAQQQQAABBBBAAAErwCzwPAgIRIQAAdCIuI1cBAIIIIAAAggggAACCCCAAAIIFKyAmUiIAGjBktIaAudIgADoOYLnsAgggAACCCCAAAIIIIAAAgggENoC6XSBD+0bxNkhEKAAAdAAoaiGAAIIIIAAAggggAACCCCAAAJRJhC2GaAme5WCAAIuAQKgLgoWEEAAAQQQQAABBBBAAAEEEEAAATeBcM0AJf7pdhNZRECEAChPAQIIIIAAAggggAACCCCAAAIIIOBBIF2KeVjLKgQQCDcBAqDhdsc4XwQQQAABBBBAAAEEEEAAAQQQKBqB4gRAiwaaoyBQuAIEQAvXl9YRQAABBBBAwE3gzJkzsnPnTrumbNmykpiY6LY1sMW9e/dKcnKyrVy7dm0pUcLzjzPux0pISJDY2NjADmBq7dixQ+bNmyd6rGLFikmNGjWkS5cuUr16da9tJCUlyZEjR1zb69SpI8WLF3d99rdw/PhxOXDggKtarVq1pGTJkq7P7tdToUIFqVq1qmubrwX3/SpWrChxcXG+qrMthAQ2Hz0pYzfuksX7j8iBU6elbIni0rxyebmqQaL0qBHY/Q/kcnYcT5bRv++UhfsOS1LKGSlfsri0rFJBBjauKe3jK/ltYteJUzJmwy5ZYPbfn5wixWJipEa5MtI5obIMbFRDqpUt7bcNKkS2wOaDR+TLZetk8Y59csA8b2VLlpCW1ePkylaNpEfD2oV28av3HJTJ67fY9tvVTJCejevkOtYJ88y/O295rvXeVlSvUE5uaN/c22bWR6JAjOefMyLxUrkmBCJZgH/JkXx3uTYEEEAAAQRCTCA9PV06d+4s+/fvFw1KaqDRPcjn73RTUlKkZcuWcujQIRuU3LZtm8ddVq5cKbfccossXbrUbv/222/l6quv9ljXfeW6devkoYcekkmTJomeq3uJMUGd/v37y+uvvy4NGjRw32SXX3rpJdGXU7755hu55pprnI9+3x999FF55513XPXWrFkjzZtn/ZK9adMm1+e7775b3nrrLVddXwu///67tGrVylb585//LK+++qqv6mwLAQF99p5ZsE5eXLJB0rI/hvLTtn3yyvJN0rd2vIzu00HiypTK1xn/a+lG+dv8dXI6LS1bO+O37pPhZtvQlnXl3xe2keLFcg8ml2bO87mF6+15nsl5oqa1T9fvkP/5bbW80KWF3N8m97+ZbAfkQ0QK6LP8t4mz5cVpC8yznP1h/mntZhkxY5Fc0qyejB5yucTFli1Qg5SzZ2XQqB9kzd5Dtt37urfzGADdfey4PPrdzICP3alOdQKgAWtFSMVwHQM0Qvi5DAQKSoAAaEFJ0g4CCCCAAAII+BUoVaqU3H777TZQuG/fPvnuu+/k+uuv97ufU2HcuHE2+Kmf77zzzlzZn2kmiDNixAh5+umnRYOlwZTZs2fLZZddJseOHbO7adZn27ZtRTMoFy1aZLM7x48fbzND586dK40aNfLZ/Pvvvx9wAFQzWseMGeOzPTZGj8DTJiCpwU8tCWVLyQ2Na0mjirFy+PRZ+WHLHlloMkKn7Dgg/SfMl5lXd5NSeeye+Q8TvNSXlkSTpXlz01pSr3xZ2aoZoet3yl6Tzfnu6m0SazJPR3TLCKLbyplf7p21Qt5bk/FHiLIlism1DWpI67gKJpiaLnP3HJKJ2/dL8tk0eWj2KillMqmHtarnvjvLUSDw1AQT/Px5vr3SxAqxckO75tLQZBUfNs/W9ys3yqIde2Xyuq3S/91vZNb9g6VkEFnz/vie/mm2K/jpq66ei1NqmwzrSmV8Zyw3CiAr2mmP9wgRCNtZ4CPEn8tAoIAECIAWECTNIIAAAggggEBgAsOGDZPhw4fbDMt33303qADoe++9Zw+iXcuHDh2a7YCaIXnrrbfKr7/+arue9+vXTyZOnJitjrcPJ06ckEGDBtngpwZp3377bduWdn/XcurUKXnqqadscFWzVzWTUoOh7sXJGK1UqZINlv7000+ye/dum6nqXs/TsgZ2tfu8dm13ArCe6rEu8gWWHzwqL2UGPzuZLuQT+3eRSqWzhkJ4smMT+etva+Rlk52pXc5fM9mgj7dvHDTMvL1JruDnRTXi5NvLOknFUlnH+WuHxtL3+99kqTmfN1Zslvta15eGFcu5jjPFBDed4GfTSuXkpyu6SD0T4HIvk02dq36aL2dNQPSJeWvllma1bTd+9zosR67Asl375KXpGcHPznWry8Rh10klt+EQnurbVf53/Cx5efpCmb9tj7w6a7E8fnGnAgH5ddNOGTlzkQmoFrOZp6keMpSdA7kHQN8Y0Fuuau37j1vOfrxHj0B6scCHs4keFa4UgfATYDTf8LtnnDECCCCAAAJhLdCwYUO59NJL7TVMnTpVtm7dGtD1aIBz+vTptq52RdcxNt2LrtPgp3ZP/+WXX+SBBx5w3+xz+dNPP5Vdu3bZOi+88IL86U9/smN/OjuVKVNG/vWvf0n37t3tKg1uajd8T6VmzZrSokULSU1NlVGjRnmqkmvdRx99ZNddcMEFubaxIroERi7bJNpRWHucj+rVLlvw05H4Z5fm0sqM0anl1eWbTYAxe/d1p56v97+bLvZaKpug55eXnJ8t+Knrq5QuJa9e2NoEPWPlqvrVZc/JrCw53f72qi36ZsvHvdvnCn7qhkvqVJPbmmX8Oz18+ozM2n0wYwe+RoXAiOmLzB+69FmOkU9uvixb8NMB+L/Le0jLxIzxbF+duVhS8/AsO2057zqm55++mGiP/cCF7e14o842T+9HTmU925VMxjUFgVwC+g05HF+5LoQVCES3AAHQ6L7/XD0CCCCAAALnREDHsNSiXda1q3ggRes5WZbO/u77aVf1IUOG2HE/gw0kLl682Han95RZ6n6MK6+80n7U89bxQt2Lc27anf2qq66ymz744AP3Kh6XdRzTadOm2W19+/b1WIeV0SFwJjVNvt28215sr1rx0sR0x/VUNKB0pxmbU4t2U5+123Mw3tO+um676eKuXei13NO6nsR7CfpcaDJD19/US7669HzpZiasyVmamMzP86pWFM1U9VZ61syarEkndaJEh8Dps6ny7cqMYRx6N6krjeOreLzwYiaodEfX1nbbnmMnZNamHR7rBbPyf3+cJZvMpEu1KpWXpy/pKjHmP1/FPQO0sluGqq992BZdApoBGo4v8fPsR9dd5GoRMH/HAAEBBBBAAAEEEChqgSuuuEJ0BnctH374oc2W9HUOmk3pZEnWr1/flUHqvo9OIPTJJ5+IznQebPnvf/8rp0+fFh2XVLuheyvlymV1AdYgqKeiY49ed911dtP69ettVqqnes46zRLV4GmzZs2kSZMmzmreo1Bg8YEjcvxMqr1yDYD6Ku6BxRk7M4KZvuq7b/vJTHDklOsb1nAWg3r/ul8nWXPjxbJo4EU+99NgrVNKuC0763iPTIHFO/fKCZP1q6WXCYD6Kr0aZ22fsWG7r6p+t01bv03+M3uZrffe4Eukop/xPLWiewDU3/iffk+ACpEnoN/CdDiccHxlffuNvPvCFSGQBwECoHlAYxcEEEAAAQQQyJ+Ae6alzgTvb6zOH3/80dVF/a677srWPd05k169ejmLeXrXWd7j4nJnubk3prPLa9Hz127u7kX316KB0U6dOrlmbPeXBfrxxx/b/TR71ckitSv4EnUCqw5lTMClF97STCbkqzQ32aHaI1OL+34Za3x/nW/GDtWikxu1MRmc7uX4mbNy2mSiFlRZtD/jWNpe+2qVCqpZ2glxgZVuwx20rpGVBezptFskxtlu8rrNfT9PdX2tO2q6st8xZpKtctcFbc3s8vV9VXdtO+I2CRIZoC4WFtwFdBKkcHy5XwPLCCBABijPAAIIIIAAAgicGwH3Wdx1MiRfxZn8yJlF3lfdwtq2d+9e+fzzz23z2hU+Z7DUCYA6QUyd7V7L2LFj5fjx43Y55xcds3TDhg02oKsTOFGiW2DHiVMugNrlyriWPS3o5C4Jmd11t5ku7cGU9UcynscGZtIizdDUIOXgyYsk7oOJUvn9iRL77gRpMvpnO9nSwVOng2k6W90Dyaflg7UZGX3t4ytKx2reu8pn25EPYS+w43BWMF+7ovsqOvN7tfJlbZVth4/6qupz28PfzpDt5rgN4irJ8Ct9Zya7N5SUnPXvrqTp6vzebyvkqve/keYvfiANn39POr8yWu7/eprM25oxPIX7vixHh0C6+WtTOL6i4+5wlQgELkAGaOBW1EQAAQQQQACBAhTQyYKcsTI1w1NnTPdUdHKiCRMm2E3XXnutJCQkeKpWqOvOnj0rf/zjH+Xo0aNStmxZefHFF/0eT+uXKFHCBj+//PJLj/Wdbv29e/fONamTxx1YGdECSWbyFqfo5ET+ilPHfT9/++j23ScyJn2pWqakfLh2m1ww7lf5etNuOXr6rGv3zcdO2pnmz/typqwwM8EHW3TW7dt+XiJ6bpqo+kr3jHEeg22H+uEp4B5UrGwmkfNXnMzLpByTbfnbz9n+4+pN8tGCVaKJ+B/ccKmUN5N4BVqOmEC9luImyNXm5Y/lrrFT5MfVm+V384eBrUlHZdGOvfLWnGXS7fXP5XYzuVKK+f8DSnQJpJvsz3B8Rddd4moR8C9AANS/ETUQQAABBBBAoJAEnMmMNMDoBANzHkrX6xigWpz6OesU5mcdG/Smm26SyZMn28PoWKM6Xqe/kpiYKDozvRZPEz2dPHlSnMCozjpPQeBU5nOuEqVNhqe/4tQ5FWSX9aNmwjAtW44ly90zV9jMzO8v6yRJt/eTU8Mul0XX95Cbm9SydXT29ysnzJdjbsFRu8HHF53M6eZpi2Xi9v221gtdW4hOqESJHoEUMwmSU0qboRb8ldLFS9gqp/IQXDx0MlmGfTnF7v/nHh3kokYZ40v7O6az3QnWatBeA559m9aT1wf0km/+dLWdvX5Y17ZSxvwxS8vHC1bLrZ9NdHblPUoE0s39D8dXlNweLhOBgAX8/2QVcFNURAABBBBAAAEEghPo06ePNG7c2O7kPsu704p2J3eChzrm5h/+8AdnU5G8Hzx40E64pN3YtYv7m2++aWeaD/TgTjf4OXPm5Jo1/uuvv5Zjx45J5cqVZcCAAYE2ST0E8i1w1gR6tGjX+S6JlWXm1d3k8nqJUqFUCSlhJvo4L76SfNy7vTzQpoGtp13z/7Nqi1329+WQ6TJ/2Y/z5KuNGRndT3RoLI+1a+RvN7YjkGeB+7/+WXQG+WYJVeSfl18YdDvaRf/8OonSpW4NmTD0Wpl413Vy34Xt5KrWjeSmDi3krYF9ZMmjt0jNihld+ccuW28yRDcFfRx2QAABBBA4twIEQM+tP0dHAAEEEEAgqgU0qKiTGmnZuHGjTJ8+PZuHft60KeMXzaLO/ly6dKl07NhRZsyYITr26OjRo+Xee+/Ndn7+Plx++eVSvXp1Wy3nZEhOxusNN9wgZQLoIurvWGwPf4GyZixEpwSS1ZmcmWXnvp+zv6/3UjqbcWb5Z5fmUspLtuk/OjWTsiUy6n65YZezi9f3ZWYW+05f/yIzdh203d5HdGsp/+jc3Gt9NkSugJMxqVcYSFZn8tmMrOSyJTMyLQOV+coEI8csXWfHsv3oxn5SJsj99ThvD+wr8x66Web8+Ua5tHl9j4duaoKr/x3Ux7Xt3d+Wu5ZZiHQBM66CZiiH48t+J470+8P1IRC4QNZPP4HvQ00EEEAAAQQQQKDABLT7d+nSpW17OSdDciY/io2NtWNwFthB/TQ0fvx4ufDCC2Xr1q1SrVo1mTZtmtx4441+9sq9WccA1bFAtYwaNUq0q78WbdcJ9hZ293edld4pzkRNzmfeQ0sgzozJ6ZRAxvU8lDlmaHzZwMc71PYrl846ThcT2PFWNCO0c+b2FYeOinYR9lZ+3LpXenw7R7aabvXlTJfnry49X/7ctqG36qyPcIE4t0m8AhnX89DJjImI4stlTIYUCM9ek/V579dTbdW/9u4snU0Gp6eSLt6fW0/1va27rHkDSSgfazfP3ZKR4eytLusjSyA9ppgZAzQMX5F1G7gaBPItENyf2PJ9OBpAAAEEEEAAAQSyC1StWlUGDhwon376qXzzzTei3c513aFDh2TcuHG2smZJalfxoigaqNSu6zruaNu2beX777+XevXq5fnQ2tbw4cNlz549djInnfjp448/Fu3e36pVK+ncuXNAbTtBYq3sbVZ5Tw2po1PKl/c9G7NTj/dzI1AvcyZsPfp20z29Q7VKXk/kxJmzciBzhvb6FQIPGmmDdcqXkd+PnLBtlzQTv/gqiZkzzWvs85g5pnvw1NnvYzPT+9CZy0Tr1DPn8m2/TtKmakVnM+9RKFCvStb915nZ29f2Pnnd8ZTTctAMs6BFZ3APtDz63Uy7X6UypaWm6caus7d7KqfPZvwRaPXeg6467WslSEfT7T2Yon9A0vPbd/ykHDiRHMyu1A1zgXS3rPkwvxROH4GoFiAAGtW3n4tHAAEEEEAgNAS0e7sGQFNSUmTMmDG2q/nnn39uP+sZFlX3d52USDMyNWvy0ksvla+++koCDRpqQNNT0QmTunXrJjoO6GeffWZnvtcgq5Zgsj9r1qxpZ5XXLNJVq1Z5OpTHdYsWLXKtb9KkiWuZhdATaOsWNNSMy6sbZAyf4OlMlx7Impm9vRmzM5jSOq6i/LzzoN1lpwk81XYLvOZsJ8VtYianO7x7ndHrd8gdM5bZVZ0SKotOplQtM2jqXo/l6BJoW6Oa64KX795vx9N0rcixsHRnxmRZurqdCUwGWjYePGyrHjmVIvd9Pc3vbtM3bBd9aXmqb5egA6C638nMCcSC7aqv+1LCVyC9WNbwJOF7FZw5AgjQBZ5nAAEEEEAAAQTOuUD37t2lTZs29jycmdG/+OIL+1nH4ezUqVOhn+OCBQtsd3UNfurYnZr5GWjw09/JOZMhTZw4URYuXGjHO9Xu8UOGDPG3q2u7jkN6wQUX2M86PunatWtd27wt6LU4Y48WN+NL6qRTlNAV0KzJ+DIZ3dknZ86g7u1sJ23f59rUp3ZWsMm10sfCxbXiXVun7zzgWva0sOLQMbu6tunSXNptjFJdOcuM9ekEP7tXryJTr+xK8NMTYhSuO69mNama2Q1+8rotPgUmrdvs2n5Js3quZX8L3erXlH5mzE5/r+KZWc51q1Rw1W0cnzH0g3aj13FER85YJAu27fF5yBNmyIl1+5JsnabVvA8d4bMRNoangGaAhuPLd4J/eN4LzhqBfAiQAZoPPHZFAAEEEEAAgYIT0CzP++67T3755RcbJNSMSS1Fkf156tQpuemmm2zGqQZiNQirAceCKoMHD5Y///nPcuTIEfnHP/5hm9Uga2JicF0wHR/NNh06dKhMmTLF5wRKTz31lKxcudIeb9CgQaJZpJTQFShmutje0Lim/HvlFpmzJ0mWmEmFPGV3njyTKh+YbudaWlQp77OrvKervaROvFQ1440ePHVGXlu+WW5qUlucIJF7/V93H5JNR0/aVb1rZwVNdcUREwy6eepi0Rnlm1YqJ99d1lnK5WECGvfjsRw5AsVM0PHG9s3l378uldmbd8nSnfs8ZndqUPH9eRnfo1omVvVYx5vKiKt7etuUbX3lJ/4tx0w3+ytbNpLXr+2VbdvOI8dl8Kjxdl3fpvXsDPDZKrh9+O/c5XI6MyNaxwOlRJEAGaBRdLO51EgWIAM0ku8u14YAAggggEAYCWg2pGZcatbirbfeat8rVapkA5P+LkMDmDrWpfvr2LGMzDXdV5fdt+myMyGRbn/jjTdkw4YNuigvvviiDYTmrJ/z88mTGYEhu5P54muCIb0uDYJq+eGHH+x7MN3f7Q7mi7bRr18/+/HXX3+1EzX9/PPP1sqpo8FRzWYdMGCAvPDCC3a1zkQ/YsQIpwrvISzw8HkNTaZlxo/of5y2RPaeTMl2tmdS0+x4m3sy1z/VMfewBjvN+KHnj51lX8Myu6e7N6KZnI+3a2xXLT14VO7/dUWuCY52mDbudNv33tb13ZuQ5xatl92Z5/BRr3YexwbNtgMfok7g4T90lFKZWcO3jP5JNNvSvZwxwcShX0426zO+lz7Vt6v7Zru8PemYdBz5iX3d9eWUXNvzu6JD7UQ5P3Ms0Cnrt8rzU36z4zPnbPf7lRvlqZ9+tatjzeRg9154Xs4qfI5ggfSY4mYSpPB7RfAt4dIQyJMAGaB5YmMnBBBAAAEEEChogYoVK9pg5zvvvCOrV6+2zd9yyy2iM8D7K2+++aY89thjXqtpOznLrFmzpEePHna1jj/qlP79+zuLPt8feOABef31133Wcd+o3eCd7ug6s3ygx3FvQ5d1jNTrrrtOpk6dKjq+Z+/evaVcuXJSt25d00OvmGzfvl2OHs0aH7JBgwY26FqjhucZknO2z+dzK1CvQqz864KW8sCvK2VN0nFp9cUMGdS4hjQ2WZYHkk/LuM17ZEPmBEbXN6ohgxvXynXCKeaPCBrY1FLRBGs8lYfaNpCftu2TmaYb+7urt8lsk+05yGSfVi5VUlaboNPnv++ykx7pvo+3ayQdq2VNQpZ8NlXeXrXVNlvcZK0OnbHc0yFyrdNJnT40wVJKdAjUNxMGvXzVRfLnb6aLTkDU8qWPZHC7ZtIovrIcMAH2cSt+lw0HMsbxHNSuqQxu3ywXTErqWZM9mjFGqE52VBjlvwP7ykX/HiMnTp+RZybOkTFL1kn/ljrjezk5asYXnbFxu/yyaafr0G9f31dqVarg+sxCFAgUpy95FNxlLjEKBDz/RBQFF84lIoAAAggggEDoCdxzzz2iAVCnFEX3dz3W6dOnnUMW2ruOc6oTIq1bt86O/VmyZMk8HUsDxZMmTZKPPvpIXnnlFdvF/cSJE7JmzZps7dWuXVvuvPNOefTRRwtsLNNsB+BDoQnck5lt+fjc1XLYBGXeMQHKnOXOFnXl9Qtb51wd8OcSJliuExYNm7lcxmzYZYKex+XvC9Zn219niH/SZJg+2SF7lukpk7l3ymSiakk1GcerTMA0kBJnut1Tokvg/gvbS4z57y8/zJLDySmi3chzlmFd28prAy7OubrIPuvESzPuGyS3fT5RVu05aIO1GrDNWepUriBvXtfbBEcb5tzE5wgXSC8WrmGTggvcLl++3PYu0T+w6h9Ue/bsKdq7JK9lxYoVMn/+fPsHW21H2+MPtXnVZL9ABWJMNynPU5YG2gL1EEAAAQQQQACBAhTYunWr7YKo2Yya1RhI0R/ItYt6MEV/0C5dOiOjaOfOnXImc3bfQNvQQGRcXJyrelJSkh3jUycbqlOnjmu9+8KBAwfk+PHjohmgmrWZs2i3+n37Mia3qVWrlgQSJN22bZvopEh79+61XeHj4+OlZcuW0rx5c5/d8nMeO9Q+p/38vaSPfTfUTqtIz0e7v3+xYafM23tYDpkxDMubMTZ1pvjrG9aQlnHeM9COmqDph5ljhNYyE9Fc38j32K+L9x+RrzbushmnySa4WaV0SZvxqeORepohXmeGdzJAgwEJ5FyCaS8s6jZrKzHdeov8+mNYnG5hnaR2f/98yVqZv3WPHDyZLOXNGMttzURJA89rKi2rV/V62CMmaPrhgowxQjUAeV3bpl7retvwn9lL7did7WomSM/Gnr83675pZjzbab9vkynrt9jM1ONmfFKd7b2ByWTV/TQrtGRml35vx4ro9ZXjJWbAUImpEh/Rl5nr4ky45Mgm/5MO5tovBFZUbNBMYszPUvkpO3bssL1zdHx296ITOT744IPy8ssv294n7tt8Le/atcu2N3PmzGzV9Gen+++/3w7Xo8sUBApDgABoYajSJgIIIIAAAggggEC+BAiA5ouPnUNFgABoqNwJziO/AlEcAD28KXt2fH4pi2r/Sg2a5CsAmpycLB07drQ9TLp27Sr33nuvnbxRJ1d86aWX7B9sH3/8cRk+fHhAl5SSkiLnn3++7bnSuXNnO/Gl/jFa29M29uzZIw8//LCMHDkyoPaohECwAgRAgxWjPgIIIIAAAggggEChCxAALXRiDlAUAgRAi0KZYxSFQBQHQJO2biwK4QI/RuW6DfMVANXJE3V89U6dOolOvFjKZG47RYfdad++vZ1Qcv369dKwof+hIV577TV56KGHpEOHDjJnzhxXLxxtU4cHateunR2SaO3atdKkSfahV5zj8o5AfgTylw+dnyOzLwIIIIAAAggggAACCCCAAAIIIBDKAjEmbBKOr3yaOhM3Pvnkk9mCn9psixYtZNCgQZJqhkT5+OOPAzqS094TTzyRLfipO+sY6TfeeKMdykfHOKcgUBgCBEALQ5U2EUAAAQQQQAABBBBAAAEEEEAg7AXSi5eQcHzlB17HFV+9erUd37NPnz4em7rkkkvs+mnTpnnc7r5Sx0DXiZRiYmKkb9++7ptcy8G059qJBQSCEAjX6cyCuESqIoAAAggggAACCCCAAAIIIIAAAsELpOVzIqHgj1hAe+RjEnjt4q5FJ6P0NGmjbtMJF7VooNRf0W7tWnSCR51E0lMJpj1P+7MOAX8CBED9CbEdAQQQQAABBBBAAAEEEEAAAQSiUyAmXGclz3sEVCck0pKYmOj1nickJNhtSUlJohMclS5d2mvdYNo7duyYnDx5UmJjY722xwYE8iJAADQvauyDAAIIIIAAAggggAACCCCAAAIRL1CmfHm/15iSfErS09P91iuICtqNvHTZMgXRlNc2Tpw4Ybf5CkK6b9P6vgKgwbZ3/PhxAqBe7w4b8ipAADSvo/4MkQAAQABJREFUcuyHAAIIIIAAAggggAACCCCAAAIRK6AhzZji/jNA04rFmAl8iioAGtg5RexN4cIQyKMAAdA8wrEbAggggAACCCCAAAIIIIAAAghEtsAxk40YSkUzTQM5p9iyZfN82k52Z3Jystc2tJu6U7yNE5pzu6/2nCxR3cdfe067vCMQjAAB0GC0qIsAAggggAACCCCAAAIIIIAAAlEjUESJnSHlWaNGDXs++/bt83peu3fvttvi4uJ8dn/XStWrV7d1fbXnjBOqkyQRALVcfClgAQKgBQxKcwgggAACCCCAAAIIIIAAAgggEBkC6elpkXEhQVxFixYtbO2tW7d6nZBo5cqVtk6bNm38tuy0t2PHDtFJjipUqJBrn2Day7UzKxAIQKBYAHWoggACCCCAAAIIIIAAAggggAACCESdQJqJf4bjKz8jkurs761bt5bU1FSZOnWqx3s+ceJEu75v374et7uvrFq1qpx33nnGMU2mTJnivsm1HEx7rp1YQCAIAQKgQWBRFQEEEEAAAQQQQAABBBBAAAEEokcgXcLzv/zeodtvv9028cILL8jZs2ezNbdixQoZN26clCxZUv74xz9m27Zw4UL5+eefZcuWLdnW33HHHfbziy++KGfOnMm2bfXq1fLVV19JiRIl5NZbb822jQ8IFJQAAdCCkqQdBBBAAAEEEEAAAQQQQAABBBCIKIE0EwANx1d+b8I999wj2nX9t99+k8suu0x++uknWbx4sbz33ntyySWX2KDo//7v/0qdOnWyHeree++V3r17y6hRo7KtHzZsmM0qXbBggfTr108mTJggS5Yskffff180i/T06dPy+OOPS/369bPtxwcECkqAMUALSpJ2EEAAAQQQQAABBBBAAAEEEEAgogS0+3tYFu0DH5P3My9Tpoxot/Rrr73WdoN37wpfrFgxefTRR+XZZ58N+AClS5e2QVRtTzNE9eUUbe+hhx6S559/3lnFOwIFLkAAtMBJaRABBBBAAAEEEEAAAQQQQAABBCJBIGwDoAWAX7duXdGMzenTp8vcuXPtBEaa8Xn55ZdLgwYNPB5hxIgRkpSUJM2bN8+1vXbt2jJv3jyZMWOGzJkzx7an6zTDtFGjRrnqswKBghQgAFqQmrSFAAIIIIAAAggggAACCCCAAAIRI6Ad4MOz5DMFNPOiY2JipFevXvYViEOPHj18VtP2Lr74YvvyWZGNCBSwAAHQAgalOQQQQAABBBBAAAEEEEAAAQQQiAyB9PxMpx4ZBFwFAhEhQAA0Im4jF4EAAggggAACCCCAAAIIIIAAAgUtkEoEtKBJaQ+BcyJAAPScsHNQBBBAAAEEEEAAAQQQQAABBBAIdYF0Mws8BQEEwl+AAGj430OuAAEEEEAAAQQQQAABBBBAAAEECkEgjfhnIajSJAJFL0AAtOjNOSICCCCAAAIIIIAAAggggAACCISBQFqYdoEnbhsGDxenWKQCBECLlJuDIYAAAggggAACCCCAAAIIIIBAuAikhesk8OECzHkiUEQCBECLCJrDIIAAAggggAACCCCAAAIIIIBAeAkwBmh43S/OFgFvAgRAvcmwHgEEEEAAAQQQQAABBBBAAAEEologPUy7wEf1TePiEfAgQADUAwqrEEAAAQQQQAABBBBAAAEEEEAAgXAdA5Q7hwAC2QUIgGb34BMCCCCAAAIIIIAAAggggAACCCBgBUgA5UFAIDIECIBGxn3kKhBAAAEEEEAAAQQQQAABBBBAoIAF0tKYT72ASWkOgXMiQAD0nLBzUAQQQAABBBBAAAEEEEAAAQQQCHUBJoEP9TvE+SEQmAAB0MCcqIUAAggggAACCCCAAAIIIIAAAlEmwCzwUXbDudyIFSAAGrG3lgtDAAEEEEAAAQQQQAABBBBAAIH8CKTSBT4/fOyLQMgIEAANmVvBiSCAAAIIIIAAAggggAACCCCAQCgJ0AU+lO4G54JA3gUIgObdjj0RQAABBBBAAAEEEEAAAQQQQCCSBYiARvLd5dqiSIAAaBTdbC4VAQQQQAABBBBAAAEEEEAAAQQCE9D539MkPGeBD8+zDuy+UAuBvAgQAM2LGvsggAACCCCAAAIIIIAAAggggEDEC6SF6xigREAj/tnkAoMTIAAanBe1EUAAAQQQQAABBBBAAAEEEEAgSgTCNQM0Sm4Pl4lAwAIEQAOmoiICCCCAAAIIIIAAAggggAACCESTQHo6qZTRdL+51sgVIAAaufeWK0MAAQQQQAABBBBAAAEEEEAAgXwIEP/MBx67IhBCAgRAQ+hmcCoIIIAAAggggAACCCCAAAIIIBA6AkwCHzr3gjNBID8CBEDzo8e+CCCAAAIIIIAAAggggAACCCAQsQJ0gY/YW8uFRZkAAdAou+FcLgIIIIAAAggggAACCCCAAAIIBCaQSh/4wKCohUCICxAADfEbxOkhgAACCCCAAAIIIIAAAggggMC5EUhjDqRzA89REShgAQKgBQxKcwgggAACCCCAAAIIIIAAAgggECECZIBGyI3kMqJdgABotD8BXD8CCCCAAAIIIIAAAggggAACCHgUSCMF1KMLKxEINwECoOF2xzhfBBBAAAEEEEAAAQQQQAABBBAoEoE0Cc8+8Olhet5FclM5SFQKEACNytvORSOAAAIIIIAAAggggAACCCCAgD+BcA2A+rsutiMQbQIEQKPtjnO9CCCAAAIIIIAAAggggAACCCAQkABDgAbERCUEQl6AAGjI3yJOEAEEEEAAAQQQQAABBBBAAAEEzoVAWtq5OCrHRACBghYgAFrQorSHAAIIIIAAAggggAACCCCAAAIRIZBOCmhE3EcuAgECoDwDCCCAAAIIIIAAAggggAACCCCAgAcBxgD1gMIqBMJQgABoGN40ThkBBBBAAAEEEEAAAQQQQAABBApfgC7whW/MERAoCgECoEWhzDEQQAABBBBAAAEEEEAAAQQQQCDsBNKEQUDD7qZxwgh4ECAA6gGFVQgggAACCCCAAAIIIIAAAggggICkY4AAApEgQAA0Eu4i14AAAggggAACCCCAAAIIIIAAAgUukEoAtMBNaRCBcyFAAPRcqHNMBBBAAAEEEEAAAQQQQAABBBAIeYF0UkBD/h5xgggEIkAANBAl6iCAAAIIIIAAAggggAACCCCAQHQJmOzP9LQwTQEt4tNOT0+XlJQUKVOmTHQ9I1xt2AgQAA2bW8WJIoAAAggggAACCCCAAAIIIIBAUQqkmsBeOJaiOuvRo0fLm2++KYsWLZLTp09L5cqVpW/fvvK3v/1NWrduHTDdTz/9ZPfxt8OMGTOkXLly/qqxHYFcAgRAc5GwAgEEEEAAAQQQQAABBBBAAAEEEBAJ1wTQorh3jz32mIwYMUKKFSsmXbt2lcTERFmxYoWMHTtWxo8fL5MmTZIePXoEdCqbN2+WhQsX+q2bmprqtw4VEPAkUMzTStYhgAACCCCAAAIIIIAAAggggAAC0S6gmZTh+Crs+zZ9+nQb/KxQoYLMmTNHZs+eLePGjZPff/9dnnvuOUlOTpYhQ4bYbvGBnMuRI0dstYceeki0O723V8WKFQNpjjoI5BIgAJqLhBUIIIAAAggggAACCCCAAAIIIBDtAhmBT50GKfz+K+x7N3LkSHuIJ598Urp06ZLtcE899ZS0b99etm3bJl999VW2bd4+HD582G7SLvQUBApDgABoYajSJgIIIIAAAggggAACCCCAAAIIhL1AeppOhBR+r8KEP3XqlEyePNke4sYbb/R4qBtuuMGu/+677zxuz7nSCYBWqlQp5yY+I1AgAowBWiCMNIIAAggggAACCCCAAAIIIIAAApEmkBamkyAV5n1YuXKlnfAoPj5e6tat6/FQHTt2tOt1cqRAihMAJQM0EC3q5EWAAGhe1NgHAQQQQAABBBBAAAEEEEAAAQQiXkA7v1OyC2jXdi3egp/u27SujucZExNj9/H2JSkpyW4qUaKEvPHGGzJhwgTZs2ePnfFdg6lDhw4NalZ5b8dhffQKEACN3nvPlSOAAAIIIIAAAggggAACCCCAgA8Bf4E73fVsmukjX4SlhJl1/VwWJ1vT14REzrazZ8/KiRMnpHz58j5P2ZkEadiwYXYCpdjYWNHXgQMH7ARLb775pui4ow8++KDPdtiIgDcBAqDeZFiPAAIIIIAAAggggAACCCCAAAJRLXBPr05+r//z35bL/mMn/dYriApVYsvILd3b+W2qMHvua1BTi2Zreivu286cOeOtmmu9kwHaokULG+js0aOHFDOBXs0C/fvf/y7//e9/RWeIb926tfTq1cu1HwsIBCrg/WkNtAXqIYAAAggggAACCCCAAAIIIIAAAhEo8Prk30LqqpJOnJJAzumBvl3zfN7r1q2TV155Jdf+F110kdx0001SqlQpu81XYPP06dOu/Z36rhUeFubOnSupqalSpUoVKVmypKtG9erV5e2335b9+/fLuHHjZPjw4QRAXTosBCNAADQYLeoigAACCCCAAAIIIIAAAggggEDUCJwt2t7tBeaan5FLd+zYYTMuPZ2MBkDj4uLsJidr01O9Q4cO2dVlypSx43h6quO+rmrVqu4fcy3rGKAaAP31119zbWMFAoEIEAANRIk6CCCAAAIIIIAAAggggAACCCAQhQL5CSWGJ1f79u1l4sSJuU6+Tp06dl3Dhg3t+9atW3PVcVZs3LjRLjZu3NhZla/3GjVq2P11PNE0M+aqdo+nIBCMAAHQYLSoiwACCCCAAAIIIIAAAggggAACUSOQFoWzwGuG56WXXur1Hus4nZUqVRKduGjVqlXSqlWrXHVnz55t13Xr1i3XNk8rDh48KJpR6i1gun37drtbfHw8wU9PgKzzK0DI3C8RFRBAAAEEEEAAAQQQQAABBBBAIBoF0kwCaDi+CvNeFS9eXAYMGGAP8eGHH+Y61KlTp2T06NF2/eDBg3Ntz7nil19+EQ1stm3bVvbt25dzs/08atQo+96zZ0+P21mJgD8BAqD+hNiOAAIIIIAAAggggAACCCCAAAJRKZBuplMPx1dh36y//OUvdrKi1157TcaOHes63MmTJ+WOO+6QnTt3Svfu3XNNWHTddddJs2bN5K233nLtc+GFF9rZ3ZOTk2XgwIF2X2djSkqKPPPMM/YY2u398ccfdzbxjkBQAnSBD4qLyggggAACCCCAAAIIIIAAAgggEC0Cmv1JyS2g3eD/85//yF133SWDBg2SevXqSWJioqxZs0aOHTsmdevWdWWBuu+t44auX79etMu7U2JiYuSLL76Qvn37yqxZs6R+/fqi7esESjoj/dGjR6VEiRLy5ptvSufOnZ3deEcgKAECoEFxURkBBBBAAAEEEEAAAQQQQAABBKJFQLM/KZ4F7rzzTmnZsqW88sorMnfuXBus1EDoFVdcYTM1ndni3ffWMUGrVauWa6xPHUd0xYoV8sYbb8iPP/4omzdvlrNnz0rNmjXlxhtvlAceeMDjWKPubbOMgC+BGPOPmX/NvoTYhgACCCCAAAIIIFDkAmk/fy/pY98t8uNyQAQKVKBZW4np1lvk1x8LtFkaQ6DIBSrHS8yAoRJTJb7ID30uD5hqZht/7rtZ5/IU8nzsv155oZQ2WZMUBBDIEOBfA08CAggggAACCCCAAAIIIIAAAggg4EEgNQpngffAwCoEwl6AAGjY30IuAAEEEEAAAQQQQAABBBBAAAEECkUgXPvMhut5F8pNpFEERAiA8hQggAACCCCAAAIIIIAAAggggAACHgRSGTXQgwqrEAg/AQKg4XfPOGMEEEAAAQQQQAABBBBAAAEEECgCARIpiwCZQyBQBAIEQIsAmUMggAACCCBQVALp+3eLHDtSVIfjOAgUjkDpWBGdPObB5wqnfVpFoKgESpeRmPIVRRJqF9UROQ4ChSNQvLikx4iY/0VdSWcM0Ki751xwZAoQAI3M+8pVIYAAAghEqUD6yoWS/sXbUXr1XHbECDRrI9K8g6R//lbEXBIXEqUCLdtLsR59RaZ8HaUAXHbECMQlSMwtD0XM5QRzIalpwdQOnbpkrobOveBMQkOAAGho3AfOAgEEEEAAAQQQQAABBBBAAAEEQk2ASGKo3RHOB4E8CRAAzRMbOyGAAAIIIIAAAggggAACCCCAQKQLpNEFPtJvMdcXJQIEQKPkRnOZCCCAAAIIIIAAAggggAACCCAQnEAas8AHB0ZtBEJUgABoiN4YTgsBBBBAAAEEEEAAAQQQQAABBM6tQDoB0HN7Azg6AgUkQAC0gCBpBgEEEEAAAQQQQAABBBBAAAEEIkuADNDIup9cTfQKEACN3nvPlSOAAAIIIIAAAggggAACCCCAgA8BEkB94LAJgTASIAAaRjeLU0UAAQQQQAABBBBAAAEEEEAAgaITIABadNYcCYHCFCAAWpi6tI0AAggggAACCCCAAAIIIIAAAmEpkG7OOlXSwvLcOWkEEMguQAA0uwefEEAAAQQQQAABBBBAAAEEEEAAAStABigPAgKRIUAANDLuI1eBAAIIIIAAAggggAACCCCAAAIFLEAAtIBBaQ6BcyRAAPQcwXNYBBBAAAEEEEAAAQQQQAABBBAIbYFwnQVeu+9TEEAgS4AAaJYFSwgggAACCCCAAAIIIIAAAggggIBLIF0IJbowWEAgjAUIgIbxzePUEUAAAQQQQAABBBBAAAEEEECg8ATSiH8WHi4tI1CEAgRAixCbQyGAAAIIIIAAAggggAACCCCAQPgIEP8Mn3vFmSLgS4AAqC8dtiGAAAIIIIAAAggggAACCCCAQNQKpKYSAo3am8+FR5QAAdCIup1cDAIIIIAAAggggAACCCCAAAIIFJRAuqQVVFO0gwAC51CAAOg5xOfQCCCAAAIIIIAAAggggAACCCAQugLpJICG7s3hzBAIQoAAaBBYVEUAAQQQQAABBBBAAAEEEEAAgegRSGUW+Oi52VxpRAsQAI3o28vFIYAAAggggAACCCCAAAIIIIBAngXIAM0zHTsiEEoCBEBD6W5wLggggAACCCCAAAIIIIAAAgggEDICYTsHEoHbkHmGOJHQECAAGhr3gbNAAAEEEEAAAQQQQAABBBBAAIEQE0hjENAQuyOcDgJ5EyAAmjc39kIAAQQQQAABBBBAAAEEEEAAgUgXIAAa6XeY64sSAQKgUXKjuUwEEEAAAQQQQAABBBBAAAEEEAhOIC246iFTmx7wIXMrOJEQESAAGiI3gtNAAAEEEEAAAQQQQAABBBBAAIHQEkgP21ngCYGG1pPE2ZxrAQKg5/oOcHwEEEAAAQQQQAABBBBAAAEEEAhJgdRwTQENSU1OCoFzJ0AA9NzZc2QEEEAAAQQQQAABBBBAAAEEEAhhgfDNAA1hVE4NgXMgQAD0HKBzSAQQQAABBBBAAAEEEEAAAQQQCHEB04s8LTXEz5HTQwCBgAQIgAbERCUEEEAAAQQQQAABBBBAAAEEEIg2ATJAo+2Oc72RKkAANFLvLNeFAAIIIIAAAggggAACCCCAAAL5EkhPZzKhfAGyMwIhIkAANERuBKeBAAIIIIAAAggggAACCCCAAAKhJZAatrPAh5YjZ4PAuRYgAHqu7wDHRwABBBBAAAEEEEAAAQQQQACBkBRIIwE0JO8LJ4VAsAIEQIMVoz4CCCCAAAIIIIAAAggggAACCESFAF3go+I2c5FRIEAANApuMpeIAAIIIIAAAggggAACCCCAAALBC6QFvwt7IIBACAoQAA3Bm8IpIYAAAggggAACCCCAAAIIIIDAuRXQ3u/hOgdSUffcX7t2rcyePVvi4uJkwIABeb5xJ06ckHHjxsmCBQvk6NGjUr16denbt6/07t07z22yIwIqQACU5wABBBBAAAEEEEAAAQQQQAABBBDwIJAWrhFQD9dSGKt0iIBXX31VnnjiCTl16pS0bds2zwFQDXpec801smvXrmyn+tJLL9kAqAZGK1asmG0bHxAIVKBYoBWphwACCCCAAAIIIIAAAggggAACCESTgAb4wvFVFPdo69at0qtXL3nkkUekcuXK+TrkgQMHpH///jb4eeutt8rSpUtl7969MnXqVOnQoYNMmzZN/vSnP+XrGOwc3QJkgEb3/efqEUAAAQQQQAABBBBAAAEEEEDAi0AqGaAeZc6cOSNt2rSR5ORkef7556VVq1Z5zvzUA4wcOVL2798vV1xxhXz00UeuY2rX90mTJkmzZs1s1/j58+dL586dXdtZQCBQATJAA5WiHgIIIIAAAggggAACCCCAAAIIRJWAHQfUXHG4vRf2TUpLS5OEhAQ77ueTTz4pxYsXz9chR48ebffXbNKcJT4+Xm655Ra72qmXsw6fEfAnQADUnxDbEUAAAQQQQAABBBBAAAEEEEAgKgU0ATQcX4V9s0qWLGm7qTvZmDpMQF7Ltm3bRF/aZvfu3T0207NnT7t+1qxZHrezEgF/AnSB9yfEdgQQQAABBBBAAAEEEEAAAQQQiEqBVJv7GZWX7vOiixUrJuXLl3fViYmJcS0Hu7B+/Xq7S7169aRUqVIed2/SpIldv27dOo/bWYmAPwECoP6E2I4AAggggAACCCCAAAIIIIAAAlEpkJ/MxqgEy8NF69ifWrSru7dStWpVu0nHHD1x4oSUK1fOW1XWI+BRgACoRxZWIoAAAggggAACCCCAAAIIIIBAtAv8/bIL/BL855elsufYSb/1CqJCfLmy8uAf2hdEUyHThgY1tZQuXdrrOZUpU8a1TesTAHVxsBCgAAHQAKGohgACCCCAAAIIIIAAAggggAAC0SNQongxaVXDe1aiI/HPK3tIalrex8B02gnkvZjpal4l1nug0GmjbMm8h3uOHz8uGzZscJpyvWuGZu3atV2fC2pBu9Nr8ZVt674tP93tC+qcaSf8BPL+LyL8rpUzRgABBBBAAAEEEEAAAQQQQAABBAIS0FEtG1StFFDdSKo0b9486dOnT65Luuuuu+Ttt9/OtT6/KypUqGCb0K7t3sqxY8dcm5z6rhUsIBCAAAHQAJCoggACCCCAAAIIIIAAAggggAACCESDQEJCglxzzTW5LrVdu3a51hXEilq1atlmdu/e7bW5nTt32m2JiYleJ0ryujMbEDACBEB5DBBAAAEEEEAAAQQQQAABBBBAAAEErECbNm3km2++KTKNVq1aiXaD37Vrlxw4cMDjZEhLliyx51NYQdgiu1gOdM4EMgZaOGeH58AIIIAAAggggAACCCCAAAIIIIAAAtEqoF3au3fvbi//+++/98jw3Xff2fX9+/f3uJ2VCPgTIADqT4jtCCCAAAIIIIAAAggggAACCCCAAAL5Fvjss8/klVdekfnz52dr65577rGfn3/+eUlKSsq2beLEiTJ58mSpWLGiDBkyJNs2PiAQqABd4AOVoh4CCCCAAAIIIIAAAggggAACCCCAgIwZM0a++uorl4R2X9eydetWGThwoGu9zhqvAU+njBw5UhYtWiTPPfecdO7c2VktN9xwg3z88ccyadIk6dixowwbNkx0vM/FixfLu+++a+u99tprUqVKFdc+LCAQjAAB0GC0qIsAAggggAACCCCAAAIIIIAAAghEucCqVauyBUAdjiNHjmRb36JFC2eTz/eYmBgZN26cPPDAAzYQ+te//tVVv1q1avLyyy/Lrbfe6lrHAgLBChAADVaM+ggggAACCCCAAAIIIIAAAggggEAUCzzyyCNyxx13+BUoWbJktjrjx4+XlJQUqVy5crb1+iE2Nlbef/99eeGFF2wX+WPHjkmdOnVspmipUqVy1WcFAsEIEAANRou6CCCAAAIIIIAAAggggAACCCCAQJQLaADTUxDTH0v16tX9VZGEhAS54oor/NajAgLBCDAJUjBa1EUAAQQQQAABBBBAAAEEEEAAAQQQQACBsBIgABpWt4uTRQABBBBAAAEEEEAAAQQQQAABBBBAAIFgBAiABqNFXQQQQAABBBBAAAEEEEAAAQQQQAABBBAIKwECoGF1uzhZBBBAAAEEEEAAAQQQQAABBBBAAAEEEAhGgABoMFrURQABBBBAAAEEEEAAAQQQQAABBBBAAIGwEiAAGla3i5NFAAEEEEAAAQQQQAABBBBAAAEEEEAAgWAECIAGo0VdBBBAAAEEEEAAAQQQQAABBBBAAAEEEAgrAQKgYXW7OFkEEEAAAQQQQAABBBBAAAEEEEAAAQQQCEaAAGgwWtRFAAEEEEAAAQQQQAABBBBAAAEEEEAAgbASIAAaVreLk0UAAQQQQAABBBBAAAEEEEAAAQQQQACBYAQIgAajRV0EEEAAAQQQQAABBBBAAAEEEEAAAQQQCCsBAqBhdbs4WQQQQAABBBBAAAEEEEAAAQQQQAABBBAIRoAAaDBa1EUAAQQQQAABBBBAAAEEEEAAAQQQQACBsBIgABpWt4uTRQABBBBAAAEEEEAAAQQQQAABBBBAAIFgBAiABqNFXQQQQAABBBBAAAEEEEAAAQQQQAABBBAIKwECoGF1uzhZBBBAAAEEEEAAAQQQQAABBBBAAAEEEAhGgABoMFrURQABBBBAAAEEEEAAAQQQQAABBBBAAIGwEiAAGla3i5NFAAEEEEAAAQQQQAABBBBAAAEEEEAAgWAECIAGo0VdBBBAAAEEEEAAAQQQQAABBBBAAAEEEAgrAQKgYXW7OFkEEEAAAQQQQAABBBBAAAEEEEAAAQQQCEaAAGgwWtRFAAEEEEAAAQQQQAABBBBAAAEEEEAAgbASIAAaVreLk0UAAQQQQAABBBBAAAEEEEAAAQQQQACBYAQIgAajRV0EEEAAAQQQQAABBBBAAAEEEEAAAQQQCCsBAqBhdbs4WQQQQAABBBBAAAEEEEAAAQQQQAABBBAIRoAAaDBa1EUAAQQQQAABBBBAAAEEEEAAAQQQQACBsBIoEVZny8kigAACCAQskJqaKtu2bbP1S5cuLTVr1gx4X6fivn375MSJE/aj7q/teCrux4qPj5cKFSp4quZx3Z49e2Tu3Lmya9cuiYmJkcTEROnUqZPUrVvXY31deeTIETl06JDX7cWLF5fKlStLxYoVvdZhQ+QKbD56Ur7ctFsW7z8iB06dlrIlikvzyuXlynoJ8oeaVQvswrcfT5bRv++UheY4h1LOSIWSJaRFlfIysGEN6Vitkt/jrDt8XL7ZvEeWHDhqz7NksWJSq1wZ6V69ilzXsLpUKlXSbxtUiGyBTceSZezWfbL40HE5YJ6xssWLSYtKsXJl7Xi5KLFygV389hOnZPTmvbLw4DFJMscpb57lVuY415t/Mx2q+v9+vvbICfl6235ZZs7z4OmzUsJ8L68dW1ouqFbRtFFNKvMsF9i9CteGNiUdlS9XbZZFuw/IwZOnpKx+v4yvLFc1qysX1auRr8t6bd5KSUsPrIlYc9y7Ojb3Wnnn0RPy+cqNsnDXAdlvzrOYeZZrlo+VzrWrycCWDSShXFmv+7IBAQQQQCC0BWLSTQntU+TsEEAAAQTyIqDf3ps2bSobNmyQ2NhY2b17d1ABQd2/YcOGsmXLFhvQ1ABl+fLlc52Ktn/rrbfKnDlz7Lb33ntP7rjjjlz1cq7Qdh955BH57rvvJC0tLedmufjii+WNN96QVq1a5dr28ssvy1/+8pdc63Ou0GBst27d5LbbbpMBAwbk3ByRn9Om/yDpX7wdkdfm76L0mX1m4Xp5celGr78M965VVT7r3V6qlinlrzmf2/+1bJP8bcF6Oe3h2dUd72heR968sJWUMEHNnOXEmbPywOxVMmr9zpybXJ8rliohIy9oIbc1q+NaF1ULzdqINO8g6Z+/FVWX7VysfZaXbZaXVm3z/iybQPlnPVpKXOn8BcpfNsd4xhzrjJcI0p2Na8gbnZt4fJZPnk2V++evl0827XVOPdd7hZLF5aUOjWRok+D/CJersXBc0bK9FOvRV2TK1+F49vk+Z32Wn56+SF6avdw8y55/7ezbsJZ8dt3FElfW8x9ZfZ3EmdQ0KfPPD31VybYtwfyRafejN2dbpx/03J6dsdie5xkv39fLmD+mvdinkzzQOffPJbkajMQVcQkSc8tDEmPeKQgggEA4CpABGo53jXNGAAEEAhDQbMq77rpLHn/8cTl58qR89tlncvfddwewZ0aVqVOn2uCnfhoyZIjH4Ofbb78tjz32mCtLNNDGly9fLr169ZKDBw/aXRISEqRdu3aivygtWbJEDhw4INOnT5cLLrhAZs2aZbe5t63XFkjRdr7//nv7uvrqq2Xs2LFSsmT+ggWBHJc650bgaROQ1OCnlsSypeSGxjWlUcVYOZxyVn7YulcWmEzNaTsPSv+fFsisqy6QUiabLi/lH4t+F31pqW6y3G42x6lXoaxsO35KPjUZoXtOpsj7a7dLrPll+ZVuLbMd4qz5xfrKiQtl1u6MDOYaZv8BDapLfbO/BpNm70mSKTsOyFGTRXfnzBUmk66YDGlaK1sbfIh8gaeXZgQ/9UoTTbD+hvoJ0tA8I4fNczHePB8LTKbmNPOsXPHzcplxSfu8P8sm8Pnciq0WtLr5N3Nzg0SpawJE20xG6KcmqLnXZFC/t2G3fZZHnN84G7wGjK6dsdKeh264uHpl+aPJXK5n9k8xz/kic47/WbdTdiWflnvnrZezJsB6TzOe5WyIUfDhyZ8X2qCiXmqiyZ68qU0jaVClghw2z9b367baTMspm3bK5aMnyi9/ulJKBvl9+fCpFJeitl/NPH++SlUvQda7x/8q7y9Zb3fVLNHrWtSXVglV5LQJsM7dvld+2rBDTpnv0Q9N/E1Km14mw3xkkfo6PtsQQAABBM6dABmg586eIyOAAAKFLqABxlq1aklKSop06NBBFi1aFPAxBw8eLF9++aWtv2zZMmnbtq1rX80Gvf3222XSpEm223r//v1l/Pjxdru/DNCzZ89K69atZd26daJd1UeOHCn33XefXdYGdPvw4cPlySeftO117txZ5s2bZ5edL+4ZoGPGjJG+fU12jVs5c+aM7NixQ6ZMmSJa1wm0Pvvss/K3v/3NrWbkLUZrBujyg0el49e/iuYXdTLdzyf275yrC/mT89fJS5kB0n92bib/065R0A/AvH2Hpfu3GdnOF9WIk28v7SgV3br3Hjbdh/v+OM92a9cw/ZrBf5DGlcq5jvP6is3yyNw19vPV9RPlk17tbHDJVcEsfG26798wdYm9lmom+LVtSC/R7vFRVaI4A3RZ0nHp9ONCe/87m+7nE3qfZ57l7DkLTy7ZJMNN5qaW/2vfUB5v5X3IEG/PzW/mDwI9Ji2xm7U7/Td/aG2e5azjHD5tnuUpy2SpOZ9i5mFefVUXaWSCsE75wnSZv2V2xrN8h8kSfbtrM2eT632fCXLptWgQtJz5g8DWay/IdS2uypG6EMUZoEv3HJTz3/nWPstdalWTiUP6ScXS2bPv/zp1gQyfs9zefc2ufLxb1s8agTwSvx88Is3f/MpWfbVf1zxlZ04ywc3LP5tk22hW1fz/hznPupWy93iZsnGnXPH5JBvIr2y+L+94+EbbjT+Qc4yYOmSARsyt5EIQiFaBKPtpOlpvM9eNAALRKlC1alUZOHCgvfzFixfb7MpALDRz8ttvv7VVtQu5e/BTV2pwVIOfOi7o5MmT5emnnw6kWVtHu7xr8FPL//zP/8iDDz7oCn7quhIlSsgTTzwhmrGpZf78+bYbv/2Q+cU9A1S75VepUiXbSzNKNeCr7c+cOdPV/vvvv+/eDMsRJDBy+Wb7S7YGakaZoKKn8TOf69RUWsdVsFf9mglEajZmsOXvpou9lsomUPRl3w7Zgp92vemO/Fq3Vjbz9BoT4NybnJWdpNvfWZMRtNKA1oc92+YKfmqd68wYogMb1dBF2W8CSL/tPWyX+RIdAq+s3u56lj/q3sJjwPC5dg3MGJ0ZgfXX1uzI27O8bIsFrWKexTGmK7178FM36Lidr3ZqIo3Kl5WrzJijmg3qXr7ZfsD18em29V3L7gsJJlB0R2bX9xMme06zVinRIzBy7orMZzlGRg3omSv4qRL/7H2+tKyWMZ7tK3NXBv0sayapUyrlCK466/29v7UwI5Cv9T4x55kz+Knr+zaqJX9q11QXbfbqL9v22GW+IIAAAgiEjwAB0PC5V5wpAgggkCeBe+65x7Xfu+++61r2tTBq1Cg5fTrjlwr3/Z19NMPymmuuEe3K3qdPH2d1QO8aiC1VKiMDRLvoeytXXnmla9OaNVm/nLhWBrigY4h27NjR1tZJofTcKZEloOO1fbsl45fRi80kR03cMi7dr1Qns7jTjM2pZZ/JSJuxK6MbunsdX8s66ZF2T9dyd8t6Em+CO55KNzM247obesrYSzqaCY3iXFW0K2UdE0xqV7Wi7Z7vnjnqqpS58AeTXeqUbea4lOgQ0Gfku8zA4sWJVaSJGcLBU9Fn+Y4mGUFyDUzO2nvEUzWv67SLuxOMvLtpTa/PcveESrL2mi4y1mSHdssxsdcO04YWzeysZYZy8Faau13DjhPZ/yDgbR/Wh7/AaTMR47drM4ZX6NOwpjSOq+jxouz35Q4Z2cN7TyTLrK3BBRaPpGQFQDUzMy9Fz6GpyfzsUKOqdKwZ77WJHvWqu7ZtSjrmWmYBAQQQQCA8BAiAhsd94iwRQACBPAtoBmebNm3s/joOqI4H6q84mZKaQXr99dfnqv7CCy/IN998I7o92PLPf/7TdsnXWdx9zfRerlxWt+GckyTpWKHBlLJlM7pt6iz2mmFKiSwBnUX9+JlUe1G9ann/5VUraIDUKTN3H3QWA3qfuH2/q971Jksz2KJjjv50eWdZeN2FZoKk1j5311/InVImyDHxnP14Dz+BxYeOyXGTKamlV40qPi9Ax9x0yswgs4Qn7swK/l9nZnrPS3Fmdj9lgra+sqlPmkCYU6qU5vuvYxHp74vMLOo64ZuWi+vX9Hm5vdy2z9yy22fdnBsLIgN03OA+sua+62XB0GtyNp/tc3G378ueJrjLVpkPCCCAAAIhJ0AANORuCSeEAAIIFLyAk8V55MgR17ie3o6is7mvXr3abtbZ08uUKZOrqs7Qnt+i3dZ9lZUrV7o265iheS3JycmiY5hq6d69ux2zNK9tsV9oCqwyQSOntKxS3ln0+N6scjlxfold6bafx8o5Vs43439qKVuimLQ1YzO6l2NmcpoUt0CP+7a8LP9sJmtySueErECXs473yBRYfSTrD1StKnnO/nSuXDMrdcgHLSsOH89YCPDrfPNHAy2xJrjexvybcC/HTNAqxQQ1/RUnAJtq/iA1w0cAdu7+jGPpqfY0Y41SokNg1f6M75d6ta3NZEK+SvP4yuZZzniYV+4PbpgE9wBoXjNAfZ2b+zYN6jqlo8kWpSCAAAIIhJcAf4YNr/vF2SKAAAJ5EtBZ3P/yl7/I8ePHRScp0sCmt6LbtTizyHurV5jrjx49Kk4Wao8ePaRRo+Anq9Hz02zXYcOGyeHDh+04oM8880xhnjZtnyMBpyuuHr62nxmANWtHZ4jfZWZq325mbQ+mrD9ywlZvUEEDTzGyyEwio5Mqabd4DRpp0dncrzOzuj9uJljy1kXeVvTx5f2122SsmQhJy81m/ETtNk+JDoEd5rl0iq9u5VrHPsumy+9uM5yD+37O/r7efz+WEWhtYJ4tfZYXmknEhq/cJlPNGJ3HMrOp65t/S9fVqyaPtazj8Vkeap7N19fusMe/f97vZrKmtnamevfj/mC684/amNGl+U9moqQ6fv59uu/LcngL7DiaFZSvZb5n+io683u12DKiXeC3Hcnaz9c+zrYkt1ngy5lxa79YuVG+Wr1ZVpsA7EnzfbmKmfW9ffWqcmPrRnYcT2e/YN/3m3P7YOl6u5t2lW9fIz7YJqiPAAIIIHCOBQiAnuMbwOERQACBohCoUKGC3HTTTfLOO+/I7NmzRcfUbNGiRa5DHzt2zJUh2rt3b2nSpEmuOoW9Qru3Dx06VPbs2WO7q48YMcLnIXW8Ur0m96LjfOp4n1OnTrUzwMfFxdlrv+iii9yrsRwhAklm5nWnON1ync+e3nWCJA2Auu/nqV7Odbszg1NVzURHH67dLnf9skLScozGsOVYsowwEzJ9+vtOmWC6u59nxvv0VX43QdXFJpB6xjS01Yz1OWHbPtGZ5rUMMJMovdWjja/d2RZhAjrzulN0oi1/pVLJEjYAmZSSEYD3V9/ZrkFTLVXLlJQPNuyWe+aty/0smzE+R5gJmT7dtNcGN9vmyK7Wibx+7NVWrp+5UjaaZ7fND/Oljxm7tlGFMnI6NV2WmAzr+QczsrOvN4HU1zo1dg7PexQIJGU+Y3qpgWRmah0NgLrvFwjTUbdJkC4bPVFyjs25/egJWb73kHy87Hfp17i2jL62pzkf72PWejqmDvHwx29n2smP9A8Gr/W7wFM11iGAAAIIhLiA/5+sQvwCOD0EEEAAgcAEtBu8BkC1aJanp8Di559/LidOZGS5Od3mA2u9YGrpWJ86MdKXX35pG9Rz7NSpk8/Gx4wZ43O7Zo8+//zzctVVV/msx8bwFdAxCJ1SOoDxMp06p4Lssn7UdHPXooHKu39ZKR3jK8nfOjaRHiboU7Z4cVllJsV4xcwu/8n6nWb299Ny1cSFsmJgj1wzxTvnqu+TzLiiD83JGHLCWd+zZpw82aFJtvFKnW28R7ZAtmfZZCv7K65n2XzvDKYczczy3GKe5XvnrZfz4yqIzuR+oZn0SMec1a74Ohv9p5v32tnfr56+QpZf2UkqmICre2ljgqLTL2kvt85eY7vBT3AbukHrlTJ99P/cvLY8c14Dcc7VfX+WI1fAfUiQ0maiLH/FqXMqcwxcf/Wd7UluAVANfl5QO0Gub9lAGlapYIdymL9jn83c1K7yEzfskCs+mywzbutvM6idNny962ROQ8bNkMkbd9pqL/bpJN3qJPrahW0IIIAAAiEqkP2nmBA9SU4LAQQQQCD/Au3atZMuXbrIvHnzRLMmdSIjZzZ2p3Wn+3vNmjWLPGCo2ac333yz/PDDD/Z0nnvuOXnwwQedU/P6rrPQ16mTMbO3U0mzSLUb/dq1a+14pjfeeKPUqlVL3nrrLXGfXd6pz3vkCORIyCzQC3Mmetlmus53MzN0T72ii+jERk5pa7I9P+x5nsSZDNHXVmyRnSaD7s1VW+Wv7b1nvul4pBoY0nEUz2amk+rs9GsPL5V7zUzzj53XMNsxnGPxjkB+BJxnbZuZlb27md19cp/zsj1nmu35YfcW9lnWbu7axf7NdTvlf1vXy3bYD0326MMLN8gJE7SqYYaWuLpOvNQz3dxPm2dZxyX9YftBedkEUr/Ysk9G92gpF+SYST5bY3xAIA8C2nW+U+bM7fd3biVD2mb/fjvQBEMf7dZGLv10oqzclyRzTUD0v4vWyn2dWvo92sGTp+T6sdNcM9M/fVE7efQCsvL9wlEBAQQQCFEBAqAhemM4LQQQQKAwBDSrUwOgBw4csLO4Dx482HUYnShowYIF9vOdd95ZpLOlr1+/Xq6++mobsCxuMuneeOMNCTQD9eGHH5bLL7/cdR05F7S7v16PTu50zTXXyI8//ij9+vXLWY3PYSygkxI5JZDJW5IzMz/LBpCV5LSr7+7Bzuc7N8v22b3e3zs2lXfWbJPks2ny5cbdPgOg97SqJ/rScshkKC0w3eH/vXKL/GQyQ/+2cL38bCbd0JnjSwaQDeh+DiyHp4BmEjvlVABZna5n2S0Q7+zv610zM53yfPsG3p/l8+rLu7/vkmSTZT3WBDHdA6Djtu2XYb+ts83c3CBR3u7a1GSPZp2/bthu/ghwlckeXXn4hPT/ebks6d9J6pXPPbGecy68R45AGbfvr4FkdSZnjqNctmT2Z8ifyDM9O4i+fJXq5WPls2svlrZvj7PV3g0gALp0z0EZMGaqHZNU/7WMvLSrPNilla/DsA0BBBBAIMQFsn5jCPET5fQQQAABBPIvMGjQIHFmX3eyPZ1Wnc8agNQxOIuqzJw5U7p27WqDn5UqVZLx48cHHPwM5Bx1rNMJEyZItWrVRLvYa8CUElkCcaVLuS4okHE9D53KGGcx2EmK3McX7epjZvYKZmzELpnbtVu8kznqOkkvC3FmDLxL61STHy7rJI+2bWBraTboGyYgSokOgSpu434GMq7nocyxP+NN1nEwxX180c4+xqnVLu+d4ivaplea8WpTM7OU00zG8uOLNtj1dWJLyztdm+UKfupGnfToI5NJqkUnVxq+aptd5kvkC8SVzQp0JyVnTe7l7coPZdaJNxmdhVFamZnoz8/MFF1hMkFPuI23m/N4P6zbJj0+HG+Dn+XNmNHfDO5L8DMnEp8RQACBMBQgABqGN41TRgABBPIqULZsWbntttvs7tOmTZPNmzfb5VOnTsno0aPt8hVXXCG1a9e2y4X95bvvvpNLL71UkpKS7IRLv/32W0DZmTpDfTBFA6uXXXaZ3UW7xW/ZsiWY3akb4gL13GZJ324m0fBVTpquuvszx4zTGduDKXXdjlPCLYPOUxvVM3+J13iRM6u2p3re1v2jU1Mpn5kJNdpMqESJDgH37Eh/M7trt/MDmROA1Q8yq9J9NvaS/p5lE5jXYp/lsxnj4K4yGZ3afV7LlbXjvWaQ6vbzTHd6Z0b7KbsP6SpKFAjUq1zedZU6EZGvctwEIw9mBkAbVK7gq2q+tjV0a9s5Xs4GP1iyTq79cqqdQb6+uYbZt18hVzarm7ManxFAAAEEwlCAAGgY3jROGQEEEMiPgE4ypEXHydSxQLVoIFKDkFruvvtu+17YXyZPniwDBw6UlJQU6datm2jws3nz5oV22AoVsn6p0iEAKJEj0LZq1r1dnjnrtLerW3rgqGtTezOJUTCltZkoxik6vqev4t7ls6xb9+QzJgtZ9z3qI/tI2y1tMrGdgOumo76Dur7Og23hJeA+0/qypOM+T37poazt7dyeTZ87ZW5sU7mcq9pOM76nr+I+MZPTRX9v5h8RdL+Esv6zT+MyM1t1cjBKdAiclxjnutBlZhZ2X0W7mzulXfWqzmKBv5/MDOBrw7E5JvTSdaPMTPFDf/jVBPvTpUutajLvzquldULWdWgdCgIIIIBA+AoQAA3fe8eZI4AAAnkSaNasmVx88cV2X2e29S+++MJ+btCggc3IzFPDQeykWZjXX3+9nDlzRi688ELRYGhcXOC/ZGjwNtiyenXWTNsJCQnB7k79EBbQwGS1zCy1yWbsTF9l0o6s7X1N5lowRWdnd8r0XVm/sDvr3N9XHDpmP9YyXYCdsfDGbNglZd+bKPVG/yxvr97mXt3j8sHMIFOs2xinHiuyMmIENDDpdGefYoY/8FUmu23vW6OKr6q5tvWsXtm1bvrew65lTwsrzWRGWmqbru7OTO6xbuM7HsgcUsLTvs66/ZmZqk5Ws7Oe98gVaGsCoE539skbd/i80ElmdnanXNKolrPo9/2I+R45bs0WeW3eSpmSOUu7t53054bFuzO+b1cx/3/hnJtTf8aW3Sb4+Yv92KNudZlyy2W56jh1eUcAAQQQCE8BAqDhed84awQQQCBfAk6WpwYF586dKxMnTrTtaXZosN3Lgz2RVDMBzZAhQ0RnfdeAq2afliuXlY0UbHuB1J8yZYrMmDHDVm3atKnUrUt3tkDcwqVOMTMkwg2Na9rT/W3fYVlkJhLyVLT7+wdrt9tNLUzXxg5BZoBeUruaOOOGvrp8s2s8xJzHmr3nkGw8etKu7lMrK8ja1cwc75RR63f4HBt0nrkOJ1vuPB9jNDrt8R4ZAvZZrp/xB5q5Jlt5sZeMZu3+/oGZYEtLy0qx0j7IDNBLapjgVOa4oa+t2eH1Wf7VPIebjmdkO/dxC7K2qlROimcORTJ1d5LtUeDtDqw3/xb2ZGZ+Bnue3tpkfegL2Ge5VUN7onO275Mluz33vNCxON9fst7Wa1WtigSTAXra/Dwx+Kuf5ZFJ8+ThSb+Z5zjNK4wGSncdy/i+3K9x9mF+Dp9KkZvHTTffk9OlWdVK8t0NfaWcGfuTggACCCAQWQIEQCPrfnI1CCCAQEACAwYMkMTERFtXZ0jXMUBLlSolt99+u9/9tcv6wYMHs70OH87KIDp+/Hi2bVr39Omsbo/a7X7RokX2OM8++6z9xTlnezk/a5veytGjR3MdT/ffvn276ARLjz76qOi4pk7W6PDhw701xfowFnjYTBpUJrOr+a3Tl8qeHN16tev50JnLZXfm+ic7NM51tbtM1/SOX/9iX3eaujmLzgL/l3YZv9AvNxme9/66MlcQc8fxZLljRta+92bO8K5t1TNjjl5mJjnSstaMoXjnzBVmpvhU+9n9y0YzXt5t05e5Vv2xafZf1l0bWIhIgYda1JHSxTJ+RL9tzhoTPMzeRV2f5WFz17mCik+0qZfLQbu1n//jQvu6K3OmdvdK+iw/1qqOXaVd7e+fvz7Xs6wzuP9/e3cCJ0V5J4z/QUHkEgSRSwEFBQQEVIxXojEmJpuoSTyzcU2Md+LrJjH65jC7Of9uNllzvZvNZaIxq9E1ajTrfeGZiCeKIIgiCnIfCgqe/+epmR4amJrpFiwo5vv4Gbq76ql6nvrWM+30r5/jlFhOJZ2x6+qeed3jkPbDd2gYqjw1Bjh/+GTDFwuVvJXH1+Lq8V+a+HTlZfjMzn2bnnuy+Qt8ad9R2XQe6Ur/6eoJYV58f6xOr8f2cfK1d4d5jXM3n/e+sdW7s+fPL1se9vjV1dnPqY09NCuZenfpFD4xvKH9T1m4NJx5/X0hnXPtdO+seeHUv96TbU4ziJ+97+g1snxnwiNhbmPd/vCJA0P3xhEFa2TyggABAgRKL9C+9FfgAggQIECgboEOHTqEFPj8/ve/HypDw4888shspfTWTpaGy1cWUmou7xe/+MWQfqrTVVddFVLQNaVLLrmkadcJJ5zQ9LylJ5/61KfCpZde2pSlupdq2ldL6tixY/jZz34WjjjiiFqyy1MygTRf5o/2HRHOvGdyFlwcecWEcMyQfmHINl1CGkp+9bNzw9ONvTKPikGYSo/R6stcFT84P9bY4y6tft1cOmvU4HDDrAUhDYG/MPYmvW/uknB0LGfb2Jvuybji+2VxmPvyuNp1SueM2Tns2XvNeUZ/fsDIsN8194X5sUfcH+PiRjfHIfkfHbh9Fhx9PfY+enzRS+GGOIw/PU/pwzFgemw8v9R2BNJCSD/cc0g4a+L0MGXZK2H0dRPD0YN6h51jG18Uh5JfPWthmNEYrEnbjx3c8GVWtVDWlhvnEO3euJhW9f70/J+H7xBumL04TIhD4H/79Ivh3thz+uhB24e0QvyUuOL7Zc/OD8sbA/TnjhwY9qiaazcd/x97Dc2OmR+HwH/jkWfCbbEn6JEDe4dBXTtmPelS3S+aMTc81fh7d1gMmB4V6yu1HYHBcdGhH35o73DWDfeHFKDc7RdXhmN22yns3HObsOiVldnw9RnxfTOlY2Nv0WMae4xWC2VtuXEO0R7NBCYvOHSfcO/z87IA5q8ffircGIfCf3zYoDBgm85hxetvhL+/MD/cHLdVJs75/gf2CuP6re6Z/0rM88sHp2ZFpl7NJ/7lruric5/vFc/x+48fmLvfDgIECBDY9ASa/+t+06unGhEgQIDABhY45ZRTwvnnnx/eahwyVhkWv4GLWed0ad7PotKWcSGZESNGZCvAf+ELXwiDBjX0FCmqfOUUK3D6boNC6t3zlb9NCcteeyP8Zsq6vdJOHr5j+Nn+I99xxdrHnnnXHLpnOP3uJ7Jg55Q4P+J3Hpq+xvnSqtrn7bFL+Pq4IWtsTy8Gd+sc7j1iv9j7c1KYEFfEToHQ3z/1wjr50sLcJw8fGC6IQd3qgP86GW3YLAXOGDYg3vcQzn1oRlia2vL0huHu1Rd7yi79wk/22qV6U13PU1v+y9v9Lw4AAEAASURBVPtHhzNiD9HLZs7Pgq3fmTRzjXNkbXn04NBcL9O0kvzdh+4Re4lODXfNXxZuj18GpJ+1UwoqfX5Y//Bv8fdBW15bZ/N//YXxu2Xvy+fc8kBYGr+MSkHKtdNpew4PP/3wvmtvrun1DvFLrrtP/Fj47DV3ZYHQWbHH6M8emLzOsb06dYzB2PeEz4xZ83fm1RgAXRWH0qf0Zpwn9MkFq0e0rHOSqg1rzyFatctTAgQIENhEBdrFIYGVL8Q20SqqFgECBAi8WwKzZ88ObzSuilprcHDFihWh3lXUe/fuHTp37pxdxrx587Ih9/VcU5ojdLvtVvfYSMPeK6vW550nDelPx6Term0pvXXHdeHtP/2yLV3yOtc6Pw4ZvjzOj5jm0Uy9P7vGBVt2j/NoHrVzvzBi267r5K9sSCuzX9QYjOwfgzspf0vpkYXLwp+fmZv1/Hw19h5NvUD3jPOKph6bO8Teeq2lB2L9rp81P/ZYXZ4FbFOgaPtOW4Wxsa4f36lv0yrwrZ1ns9w/LA5RHb5HePuy/9osL6/Wi5of2+/lMTj5QJwPdGHs/Zm15diGU0/KEXEezrz0Ugyapt6XKe3QpWP4ZOyZ2VJ6JE7pcFXs2Tw5Ts2Q2nLPOP/hHr26hmNjj9Ad4u9Ca2lirN8NcVGmqbHn6JJYdmrLfWJvvXSOj8dezAPiAkptNu02Lmzx3g+GcMuf2yxBuvA0/P1Pk2eEB2Kv90XxPbpr7Gm8e59e4ejYI3RE7x65Nmmho4sea5gjdIduXcKRMX9euj/2BL0hLqg0NfY2XbbqtWz4/cDuXcMBA/uEw2Ov0OZWfl8Z/wb61UMNPUDzztvc9tbq0twxpd/Wc/vQ7p++GNrFR4kAAQJlFBAALeNdU2cCBAgQIJAjIACaA2NzuQQEQMt1v9Q2X0AANN/GnnIJCICW636pLQEC6wg0zLC+zmYbCBAgQIAAAQIECBAgQIAAAQIECBAgUH4BAdDy30NXQIAAAQIECBAgQIAAAQIECBAgQIBAjoAAaA6MzQQIECBAgAABAgQIECBAgAABAgQIlF9AALT899AVECBAgAABAgQIECBAgAABAgQIECCQIyAAmgNjMwECBAgQIECAAAECBAgQIECAAAEC5RcQAC3/PXQFBAgQIECAAAECBAgQIECAAAECBAjkCAiA5sDYTIAAAQIECBAgQIAAAQIECBAgQIBA+QUEQMt/D10BAQIECBAgQIAAAQIECBAgQIAAAQI5AgKgOTA2EyBAgAABAgQIECBAgAABAgQIECBQfgEB0PLfQ1dAgAABAgQIECBAgAABAgQIECBAgECOgABoDozNBAgQIECAAAECBAgQIECAAAECBAiUX0AAtPz30BUQIECAAAECBAgQIECAAAECBAgQIJAjIACaA2MzAQIECBAgQIAAAQIECBAgQIAAAQLlFxAALf89dAUECBAgQIAAAQIECBAgQIAAAQIECOQICIDmwNhMgAABAgQIECBAgAABAgQIECBAgED5BQRAy38PXQEBAgQIECBAgAABAgQIECBAgAABAjkCAqA5MDYTIECAAAECBAgQIECAAAECBAgQIFB+AQHQ8t9DV0CAAAECBAgQIECAAAECBAgQIECAQI6AAGgOjM0ECBAgQIAAAQIECBAgQIAAAQIECJRfQAC0/PfQFRAgQIAAAQIECBAgQIAAAQIECBAgkCMgAJoDYzMBAgQIECBAgAABAgQIECBAgAABAuUXEAAt/z10BQQIECBAgAABAgQIECBAgAABAgQI5AgIgObA2EyAAAECBAgQIECAAAECBAgQIECAQPkFBEDLfw9dAQECBAgQIECAAAECBAgQIECAAAECOQICoDkwNhMgQIAAAQIECBAgQIAAAQIECBAgUH4BAdDy30NXQIAAAQIECBAgQIAAAQIECBAgQIBAjoAAaA6MzQQIECBAgAABAgQIECBAgAABAgQIlF9AALT899AVECBAgAABAgQIECBAgAABAgQIECCQIyAAmgNjMwECBAgQIECAAAECBAgQIECAAAEC5RcQAC3/PXQFBAgQIECAAAECBAgQIECAAAECBAjkCAiA5sDYTIAAAQIECBAgQIAAAQIECBAgQIBA+QUEQMt/D10BAQIECBAgQIAAAQIECBAgQIAAAQI5AgKgOTA2EyBAgAABAgQIECBAgAABAgQIECBQfgEB0PLfQ1dAgAABAgQIECBAgAABAgQIECBAgECOgABoDozNBAgQIECAAAECBAgQIECAAAECBAiUX0AAtPz30BUQIECAAAECBAgQIECAAAECBAgQIJAjIACaA2MzAQIECBAgQIAAAQIECBAgQIAAAQLlFxAALf89dAUECBAgQIAAAQIECBAgQIAAAQIECOQICIDmwNhMgAABAgQIECBAgAABAgQIECBAgED5BQRAy38PXQEBAgQIECBAgAABAgQIECBAgAABAjkCAqA5MDYTIECAAAECBAgQIECAAAECBAgQIFB+AQHQ8t9DV0CAAAECBAgQIECAAAECBAgQIECAQI6AAGgOjM0ECBAgQIAAAQIECBAgQIAAAQIECJRfQAC0/PfQFRAgQIAAAQIECBAgQIAAAQIECBAgkCMgAJoDYzMBAgQIECBAgAABAgQIECBAgAABAuUXEAAt/z10BQQIECBAgAABAgQIECBAgAABAgQI5AgIgObA2EyAAAECBAgQIECAAAECBAgQIECAQPkFBEDLfw9dAQECBAgQIECAAAECBAgQIECAAAECOQICoDkwNhMgQIAAAQIECBAgQIAAAQIECBAgUH4BAdDy30NXQIAAAQIECBAgQIAAAQIECBAgQIBAjoAAaA6MzQQIECBAgAABAgQIECBAgAABAgQIlF9AALT899AVECBAgAABAgQIECBAgAABAgQIECCQIyAAmgNjMwECBAgQIECAAAECBAgQIECAAAEC5RcQAC3/PXQFBAgQIECAAAECBAgQIECAAAECBAjkCAiA5sDYTIAAAQIECBAgQIAAAQIECBAgQIBA+QUEQMt/D10BAQIECBAgQIAAAQIECBAgQIAAAQI5AgKgOTA2EyBAgAABAgQIECBAgAABAgQIECBQfgEB0PLfQ1dAgAABAgQIECBAgAABAgQIECBAgECOgABoDozNBAgQIECAAAECBAgQIECAAAECBAiUX0AAtPz30BUQIECAAAECBAgQIECAAAECBAgQIJAjIACaA2MzAQIECBAgQIAAAQIECBAgQIAAAQLlFxAALf89dAUECBAgQIAAAQIECBAgQIAAAQIECOQICIDmwNhMgAABAgQIECBAgAABAgQIECBAgED5BQRAy38PXQEBAgQIECBAgAABAgQIECBAgAABAjkCAqA5MDYTIECAAAECBAgQIECAAAECBAgQIFB+AQHQ8t9DV0CAAAECBAgQIECAAAECBAgQIECAQI6AAGgOjM0ECBAgQIAAAQIECBAgQIAAAQIECJRfQAC0/PfQFRAgQIAAAQIECBAgQIAAAQIECBAgkCMgAJoDYzMBAgQIECBAgAABAgQIECBAgAABAuUXEAAt/z10BQQIECBAgAABAgQIECBAgAABAgQI5AgIgObA2EyAAAECBAgQIECAAAECBAgQIECAQPkFBEDLfw9dAQECBAgQIECAAAECBAgQIECAAAECOQICoDkwNhMgQIAAAQIECBAgQIAAAQIECBAgUH4BAdDy30NXQIAAAQIECBAgQIAAAQIECBAgQIBAjoAAaA6MzQQIECBAgAABAgQIECBAgAABAgQIlF9AALT899AVECBAgAABAgQIECBAgAABAgQIECCQIyAAmgNjMwECBAgQIECAAAECBAgQIECAAAEC5Rdo93ZM5b8MV0CAAIH1E3h77uzw9stL1+8kjiawsQU6dQ7t2sVKvKQtb+xbofz1FNiqU3i7w1YhvLxkPU/kcAIbWSC25XbbdAthxfKNXBHFE1hPgS22DG/36Bm26LHdep7I4QQIENg4Au03TrFKJUCAwKYl8PZjfw9vXfTTTatSakOgXoERY8MW+x4Y3r7ywnqPlJ/ApiUwbHRoN2p8bMu/3bTqpTYE6hUYNiaE/Q8J4c5r6z1SfgKblsC2vUO7Y07ftOqkNgQIEKhDwBD4OrBkJUCAAAECBAgQIECAAAECBAgQIECgXAICoOW6X2pLgAABAgQIECBAgAABAgQIECBAgEAdAgKgdWDJSoAAAQIECBAgQIAAAQIECBAgQIBAuQQEQMt1v9SWAAECBAgQIECAAAECBAgQIECAAIE6BARA68CSlQABAgQIECBAgAABAgQIECBAgACBcgkIgJbrfqktAQIECBAgQIAAAQIECBAgQIAAAQJ1CAiA1oElKwECBAgQIECAAAECBAgQIECAAAEC5RIQAC3X/VJbAgQIECBAgAABAgQIECBAgAABAgTqEBAArQNLVgIECBAgQIAAAQIECBAgQIAAAQIEyiUgAFqu+6W2BAgQIECAAAECBAgQIECAAAECBAjUISAAWgeWrAQIECBAgAABAgQIECBAgAABAgQIlEtAALRc90ttCRAgQIAAAQIECBAgQIAAAQIECBCoQ0AAtA4sWQkQIECAAAECBAgQIECAAAECBAgQKJeAAGi57pfaEiBAgAABAgQIECBAgAABAgQIECBQh4AAaB1YshIgQIAAAQIECBAgQIAAAQIECBAgUC4BAdBy3S+1JUCAAAECBAgQIECAAAECBAgQIECgDgEB0DqwZCVAgAABAgQIECBAgAABAgQIECBAoFwCAqDlul9qS4AAAQIECBAgQIAAAQIECBAgQIBAHQICoHVgyUqAAAECBAgQIECAAAECBAgQIECAQLkEBEDLdb/UlgABAgQIECBAgAABAgQIECBAgACBOgQEQOvAkpUAAQIECBAgQIAAAQIECBAgQIAAgXIJCICW636pLQECBAgQIECAAAECBAgQIECAAAECdQgIgNaBJSsBAgQIECBAgAABAgQIECBAgAABAuUSEAAt1/1SWwIECBAgQIAAAQIECBAgQIAAAQIE6hAQAK0DS1YCBAgQIECAAAECBAgQIECAAAECBMolIABarvultgQIECBAgAABAgQIECBAgAABAgQI1CEgAFoHlqwECBAgQIAAAQIECBAgQIAAAQIECJRLQAC0XPdLbQkQIECAAAECBAgQIECAAAECBAgQqENAALQOLFkJECBAgAABAgQIECBAgAABAgQIECiXgABoue6X2hIgQIAAAQIECBAgQIAAAQIECBAgUIeAAGgdWLISIECAAAECBAgQIECAAAECBAgQIFAuAQHQct0vtSVAgAABAgQIECBAgAABAgQIECBAoA4BAdA6sGQlQIAAAQIECBAgQIAAAQIECBAgQKBcAgKg5bpfakuAAAECBAgQIECAAAECBAgQIECAQB0CAqB1YMlKgAABAgQIECBAgAABAgQIECBAgEC5BARAy3W/1JYAAQIECBAgQIAAAQIECBAgQIAAgToEBEDrwJKVAAECBAgQIECAAAECBAgQIECAAIFyCQiAlut+qS0BAgQIECBAgAABAgQIECBAgAABAnUICIDWgSUrAQIECBAgQIAAAQIECBAgQIAAAQLlEhAALdf9UlsCBAgQIECAAAECBAgQIECAAAECBOoQEACtA0tWAgQIECBAgAABAgQIECBAgAABAgTKJSAAWq77pbYECBAgQIAAAQIECBAgQIAAAQIECNQhIABaB5asBAgQIECAAAECBAgQIECAAAECBAiUS0AAtFz3S20JECBAgAABAgQIECBAgAABAgQIEKhDQAC0DixZCRAgQIAAAQIECBAgQIAAAQIECBAol4AAaLnul9oSIECAAAECBAgQIECAAAECBAgQIFCHgABoHViyEiBAgAABAgQIECBAgAABAgQIECBQLgEB0HLdL7UlQIAAAQIECBAgQIAAAQIECBAgQKAOAQHQOrBkJUCAAAECBAgQIECAAAECBAgQIECgXAICoOW6X2pLgAABAgQIECBAgAABAgQIECBAgEAdAgKgdWDJSoAAAQIECBAgQIAAAQIECBAgQIBAuQQEQMt1v9SWAAECBAgQIECAAAECBAgQIECAAIE6BARA68CSlQABAgQIECBAgAABAgQIECBAgACBcgkIgJbrfqktAQIECBAgQIAAAQIECBAgQIAAAQJ1CAiA1oElKwECBAgQIECAAAECBAgQIECAAAEC5RIQAC3X/VJbAgQIECBAgAABAgQIECBAgAABAgTqEBAArQNLVgIECBAgQIAAAQIECBAgQIAAAQIEyiUgAFqu+6W2BAgQIECAAAECBAgQIECAAAECBAjUISAAWgeWrAQIECBAgAABAgQIECBAgAABAgQIlEtAALRc90ttCRAgQIAAAQIECBAgQIAAAQIECBCoQ0AAtA4sWQkQIECAAAECBAgQIECAAAECBAgQKJeAAGi57pfaEiBAgAABAgQIECBAgAABAgQIECBQh4AAaB1YshIgQIAAAQIECBAgQIAAAQIECBAgUC4BAdBy3S+1JUCAAAECBAgQIECAAAECBAgQIECgDgEB0DqwZCVAgAABAgQIECBAgAABAgQIECBAoFwCAqDlul9qS4AAAQIECBAgQIAAAQIECBAgQIBAHQICoHVgyUqAAAECBAgQIECAAAECBAgQIECAQLkEBEDLdb/UlgABAgQIECBAgAABAgQIECBAgACBOgQEQOvAkpUAAQIECBAgQIAAAQIECBAgQIAAgXIJCICW636pLQECBAgQIECAAAECBAgQIECAAAECdQgIgNaBJSsBAgQIECBAgAABAgQIECBAgAABAuUSEAAt1/1SWwIECBAgQIAAAQIECBAgQIAAAQIE6hAQAK0DS1YCBAgQIECAAAECBAgQIECAAAECBMolIABarvultgQIECBAgAABAgQIECBAgAABAgQI1CEgAFoHlqwECBAgQIAAAQIECBAgQIAAAQIECJRLQAC0XPdLbQkQIECAAAECBAgQIECAAAECBAgQqENAALQOLFkJECBAgAABAgQIECBAgAABAgQIECiXQPtyVVdtCbz7Am+++WZ47rnnsoI6duwYBgwYUHeh8+fPD8uXL8+OS8en8zSXqsvq3bt36NatW3PZmt324osvhvvvvz/MmTMn29+3b98wfvz4MGjQoGbzt7Rx0aJFYdmyZVmWVIdUF4nA2gKvvflW+MvsReG2uUvCsytWhjfefjv077RVOKB393DswO1Dj63e2f9SHlj0UrhnwUtrF9fq68MG9Aq7dOvUaj4Z2p7AMy+9Eq6YMSc8vPClsHDla6HTlluE4dt2DYcN6hMO6t9rg4E8v/zV8Mfps8ODC5aFxbGcrh3ah91iOUcP6Rf26t2j1XKmLl0ern52bniksZ4dtmgXBnTZOuzfd9tw5E79Qo+OHVo9hwybt8CM2Jb/55kXw0PxPXJRasvttwzDe3SJbXn7DdqWZ8W2/N/T54SJsS0vWfV66Bbb8ojYlo/ZuW/YM77Hv5N0/7wl4f55S7ND39evZ/ydeGfneSdlO2bTE5ixaFm4fNK08PDsBWHRK6+GTqmN9e4ZDt9t53DgzvX/rV3rFU6etyjcOK3h7/px/XuHg4fsuMahr8e/+39232NrbKvlxY7du4Vjdt+llqzyECBAgMAmItDu7Zg2kbqoBoFNQiD9SgwbNixMnz49dOrUKaRAY/futf/Rno7feeedw8yZM7OAZgpQdu3adZ1re/rpp8MJJ5yQBTHTzt/85jfh5JNPXiff2hvSeb/0pS+Fa6+9Nrz11ltr7w4HHnhg+PnPfx5Gjx69zr68DXvuuWd4+OGHs90jR44MTzzxRF7WzXb7WzddFd666Keb7fWt74U9tPjlcNy9U8LMGPhsLnXvsGX4zd7Dwid23K653S1u+8GTs8J5k2a2mKe5nZfvPyJ8ckfB+jVsRowNW+x7YHj7ygvX2NxWXqT3329OnBb+/bEZ4a2cv24OjgHQyw4ZF3ptvdV6sfzw0RnhXx6cFl7PKehzw3cMvzhgZGi/xbqDbVa8/kY4897J4ZJps3PrkAJQF+w7IpwYz9Mm07DRod2o8bEt/7ZNXn7Wlh+cHtvyM7lt+QOxLV/6gTHr3Zb//dFnwr8+ND23LZ80fIfwn/vv1mxbzrs56YuH3a+8J8x/9bUsy7/tvWv4ypid87Jv3tuHjQnt9j8khDuv3byvM+fqUls+7+b7w79PeDi25ebfmD8wdMdw2XGHhl5dNuyXmivje+2eP/9TmLpgSVa7L+y7e/jZ4QeuUdMVr70etvnXX66xrZYX79upf7jj1CNrybr55Nm2d2h3zOmhXXyUCBAgUEaBd9Zdp4xXqs4EahRo165dOP3008PZZ58dXn019oj47/8On//852s8OoRbb701C36mA44//vhmg5//9V//Fc4555ywYsWKms+bMk6aNCkcfPDBIfXYTKlPnz5h7NixIf1x+cgjj4QFCxaECRMmhP322y/cddddYdy4cVm+lv554IEHmoKfKd/kyZPDPffcEw444ICWDrOvDQk8/fKr4dA7JoVlr7+ZXXXqeZl6fXaMvdUeW7oi/Om5+dm+4+57Mlz3vlHhQ7GnTz1p+xiIGt29S02HLIsfZma9sirL27GZwFJNJ5FpsxU4LwY/fxADkyn1ib2TPzV0QBiyTeewNH7Ave65eeGB+cvC7XMWhX+4fmK4+4h9w1axZ+g7Sd+Ogc/vPvx0dmjfzh3D8bsMCINjb+Tn4u/KJbFH6NzYRn839fnQuf0W4Sf7jVyjiDfiF1cfuyGWH3tSp9QvHn9k7GU3uGvnsOKNN8O9cxeHm19YGF6Obf2Uux6PQad24Z923WGNc3ix+Qt8IwvkP5tdaN9OHcNxQ/s1tOXYO/O6+J77QOypeVtsyx+94cFw1+H7vOO2/K0YZP3eIw2/M6ktfnpo/4a2HHuEXjJtTpj76qpw4dQXQucttww/3m9EzfBn3vNkU/Cz5oNk3CwFvn7TfVnwM11c326dwz+OGRZ26rlNWLpyVbj2yWfDxBfmhduefj589KLrwl2nHRm2ir2cN1RKgddK8DPvnFvEv/tH9619ZMCU+UtCeh/vuAHrmVc32wkQIEBgwwoIgG5YT2fbTAQ++9nPhm984xth5cqVWc/MegKgv/3t6t4qp5122hoiqTfo5z73uXDTTTeFFGg97LDDwnXXXbdGnrwXb7zxRjjmmGOy4OeW8YPIBRdcEL7whS+E9DyltP9HP/pR+NrXvpYNvz/11FPDxIkT807XtD0FY1NKvUDTsP2nnnoq/OpXvxIAbRLy5Mz4ATkFP2McJvw59mj7WAyAVqcvx95BB936aFj02hvhtInTw9SPjg8d6wgsnRiDP+mnlvSxCY9nAdBxcWjmh+sMtNZyfnnKKzApTqXw743Bz7237x5u+Ie9Q/etVg8h/9q4oeG8B54K/xbzPLRwWfjx48+G/zt2SN0X/Lc4rLcS/DwwtsGrD90zbFNVzlfHDQkf/Ovfs+H3//nEc+HMkYPD0KoA/y8mP9cU/Pz44D7hkoPHZsOaqytyVRwWf+wtD4fUV+rcv02Nwa/+oYOAfzXRZv38sdiWf/hYQ/DzPaktf2R8bGOr/2T/Wmxj33ggBvtj79AH4/QJP3l8Zjh3bP29K9MQ9Urw86DUlj+0R+hWVc5X4zkP+evE8Eisz/+L7fbMUYOyIGxr+H96ek64MrbhLjFAlIL6UtsVeHTOgvDDuxpGGO0zsG+44cQjwjZVve+//v7x4es33hd+MOGhLBD6k3sfDeceuOcGAbv72dkhna9D/HskdTxNQcvmUhqK/+g//2Nzu9bZdv3UmeGwixv+bv/aQePX2W8DAQIECGzaAu+s68OmfU1qR2C9BXr27JkFG9OJHn300fDQQw/VdM6FCxeGa665Jsu77777hjFjxqxx3HHHHZcFP/v37x9uueWW8M1vfnON/S29SEPeU3AypXPPPTecddZZTcHPtK19+/bhq1/9avjEJz6RXoYHH3wwTJs2LXue98+SJUvC5Zdfnu1OwdWjjz46e37llVeGxYsX5x1mexsSeGzJ8nBb4xxupw3pv07wM1EMjz3szm/88P1C7Pl2+az574rQxc/MDTe9uCQLxP4qDqfcMkVkJQKNAhdMejYLGKZmcfH7x64R/KwgfWf8rmF0z4a5ln8S8+d9IK7kb+7x23GocEppztvLP7jHGsHPtD0FXVOvz6Hx9+ITO/Vdpxfcr6fMStlivvbh9weNWSf4mfZ9Mh6X5hFNaUEcSvy3xt/BbIN/NnuBCybNXN2WD9p9jeBn5eK/O36XMCp+EZTST56Y+Y7a8rcebOjFvG2ca/byQ8auEfxM521oyyOytvzJnfrEttzQ+z7ty0svvrIy/J/7pmS7zxmzU14229uIwAV3P5IFH1Mvyz8c86E1gp8Vgu99aN8wsk/DyJGf3PNoeCPON76+KQ1rP/HKW7Oyz9pvTNh6A/TWXBZ7rJ529e1Z1U4eP/Jdnbd0fa/f8QQIECDQvIAAaPMuthLIhsFXGNL8nLWkSy65JLz2WsN8V2ecccY6h7z++uvh4x//eDaU/QMf+MA6+1vakOborCymtHbP0urjPvaxjzW9nDp1atPz5p5cfPHF2TD/1Bs1BWf/8R8bvgFPPV//8Ic/NHeIbW1M4H9mLWi64lPjEMy89Km4IEeXONw3pSuqjsnLX+/2+TEI9JVHnskOO2vXASH1AJUIVARejz17rpk5N3t5cP/twi5VPS4redJj+hB+UuOcmimweOec+r7oSYse3RKHp6d0xshBYbuqnkzZxsZ/9ouLGE097qBwRQyQpueVlBYSG9i1U9hju22yXp3Vve0qeSqPqXdpJaUFaqS2IZDayDUz52UXm+b4rO49XC3Q0JYbpkZI82xOiF8O1ZNSm0pD6FM6Y7eBufOIpgW5ph77vhggHRf27bO6LeeVdfrdk7NFlMb26hZOj+eV2q7Aa7H37zVPNvx/+5A4x+eQXt2bxdgifmt1UgwopjRv+Svhrpn5cyM3e4JmNp57/T3h2cUvhR26dw3nHbx3HHXVTKY6N30t9lSd89KK0DvOU/pvH9mvzqNlJ0CAAIFNQUAAdFO4C+qwSQpU9+C87LLLapqvszL8PfUgrfSmrL64888/P1x99dWhV681hxBX58l7/r3vfS8bkp96bba00nuXLl2aTtHcIklNO+OTNNQ9pbRw0sCBA8OIESNCuu6Ufv3rX2eP/mnbAnfFeeZS6h17CI2KKw/npa3jELN9t2v4cHNPPCZvoYO841vbfk4Mfi6NcyKmVef/ddTg1rLb38YE0mrvyxvnqH3/WlM0rE3x/qpV4Ce82BAAWjtP3usbn1/9hUBapb3elOYcvT4OzX/gkweE/zxgVIuHpwBXJaXfL6ltCKS2XBk2Xt1Wm7v66v0TXqwvmL9mW+7T3Onr3vb7p14I/xu/AOsQA1oXxZ6r6VFquwIPzZ4fUk/MlN4/pOV5jA+u2j/hmfULgN769Kzwy783LOZ54VEfaLbXab135W+z5oZfNZ7zh/9wQNi209b1nkJ+AgQIENgEBPxFvQncBFXYdAXSYkgpvfTSS+GKK65osaL3339/ePLJJ7M8J554Yth663X/ODrooINaPEctO3v06NFitscff7xp/6hR+R+w77zzzlDpIVq9+nzl+ZQpU7KFlJpO5kmbFJi8rGGhrt26d271+kfGIb8prXjjrdzV4ls9STMZ7o4L11waF/1I6YdxqH3XuOK8RKBa4MnFLze9HNlK7+BhMZC/ZWNw8Ymq45pO0MKTv89fmu3tFHs77x57uFWnl+IH/ZUbcL7D22evDs7uvX3L7/vV9fC83AJPxmlHKmlkz5Z7ug+PbbkSY6y/LTd8udU5Dg2uTAtRKfelOJ9zvW059Sj98v0NQ9+/tWccnt841UTlnB7bnsDk+auD8qP6tPzF//De22Y99JPSE3NXv/fVq5aGqZ905W3ZYWfsMzocMnT9eyG/9dbb4cy/3Jmdc/9B/cI/7TG83mrJT4AAAQKbiIAA6CZyI1Rj0xT49Kc/3bSKe2vD4Cu9P9Nw8paGqL+bV5oCtRdeeGFWRFrFfejQobnFVRY/SgHVI488silfmgu0a9eGD12VHqJNOz1pUwJpFeqXGnvVDYirELeW+scVhCvp+RWrKk/X6/HtuHLB2Y0rFO8Xhw0fE4faSwTWFnhhxcqmTQO6rPvlU9PO+KR9XEworRCf0vPLVx+XbWjln+mNXwjsFFcyTj00H1ywNBx980Ohx+9vCj0vuiV0/d1NYcild8SFi6aEBTXMl5hX3G/jPKH/88yL2e60wvyOcdi81DYEnl+xerqDAZ1racsN77vvvC13ytryxNhz/6i48FaP2I57Xnxr6Pr7W8KQyyZki3AtjNNFtJTS+/TJcYG6l+P/L9KiTV/Z3dyfLXm1lX0vLF39xdSAnGlJKhYd4oKe2ze+z81atvq4yv5aH7903d3hhWXLw85xlfkffGT/Wg9rMd/FD08Jj8TFnFL68WHvazGvnQQIECCwaQsIgG7a90ftNrJAt27dwvHHH5/VIvXwnDx5crM1evnll5sWE0pze+6yyy7N5ns3N6YPIKecckqYO3dutiBSWiU+L82bNy8bip/2pyBvdW/VFPxM84Gm9Oc//zlbdT574Z82J7Ak9gKqpLTgS2upR1XPzCUxeLoh0pXPLwyPNPaI+p4P1RuCdLM8x5JVDcMs08X1qFqRPe9iK6vDL17VcmBn7eNfjIt8pdQrTgnxu6nPh/2uuS9cHedrrAy/T/ueiz3h0oJMY668O6TVvFtL05YuD2nV7EumvRC+9/D0eM57w+l3NwzfTIsh/eK9+T35Wzu3/eUTWLJq9Xtnj46tv++mxbRSWtI41LjWK6605TSP7YWxLe//l/vj3KPz123LcYX5MVfe02Jb/q8nZ4Xb43y6aaqG3x+4uwXqar0Jm3m+JVVfAvXYevUXpHmX3b0xT/VxeXmb237dlGdDClamDv6/P/qDoUsN/y9o7jzV29I8pt+69e/ZpqNGDw17DvAlbLWP5wQIECibgABo2e6Y+hYuUBkGnwqu9PJcuxLVc4RW518737v1Os31eeqppzYN0/+P//iPMH78+NziUi/RtCBTSieddNI6+SrD4FetWhXSQklS2xRYFYd9VVLHyjjLyoZmHjtWzVO4cgOs4pqC+t+f/FxW0vt6dw/vjT2LJALNCVS3t+p22FzetK2SZ1Wd7TQNDU5pZgxynhGDlHvFdvnXj4wPy078UFh18kfCI0cdEE6Ii3SllBamOfzGB0MaGt9SujkuqnT87Y+GE++cFL714PTwQJzy4aD+PcOtH3tPtohSGqIstR2B6jZZaactXX0lz8o49Ug9qdKWn335lXDGPZPD+NiW//fDe4Zlnz0krDrp0PDIkfs3teV5sS0fcdPDsS2vDs5Wyprx0ivhqw9My16ev/euYdcW5oquHOOxbQisevPNpgvtWMP7WMfYCzSllY0jT5oOruHJothz+rSrbs9yfmn/ceGAwf1rOKr1LL978MmsR2nKed7B+X9Xt34mOQgQIEBgUxAQAN0U7oI6bNICY8aMaVoYKK3ynoKCa6dKYLRfv37hiCOOWHv3u/o69T5NK8tX6vDd7343nHXWWbllpmBpZTj/HnvsEcaNG7dO3ve85z1h5MiR2XaLIa3DY0NBAjfGVY0nL3slK+3Lw3coqFTFlF1gddh+w1/JG/H9M6U03Pg9cV7OOw/bN3x4x96hS4f2Wa+30XHY5e8OGhO+OLphCPDsODT/PxuD+Hm1aR+/XEg956oXjEmr03/6tkfC9x9+OqRVwSUCG1rgjfgFU0qzYlveN7blO2LA/dA12nK38LsDR4d/HjUoy5emmfjFkw1fSGUb4j9psbsUuH8l9pI7sF/PcObIhryV/R4JFCVw5rUTshXk01yi3/3QPhuk2DT35wX3PJKd64O77BhG991ug5zXSQgQIEBg4wkIgG48eyWXSKDSq3PRokVNQ8cr1Z80aVKYOHFi9jL1nGzfvvUha5Vj1/dx2rRpYe+99w7XXXdd2DJ+c/6LX/winHfeeS2e9sYbbwwzZ87M8jTX+7NycKUX6FNPPRXSgklS2xPotEaPztbDSq9WBWqqj32ncv9vWsNKsAPj3KIfiT3iJAJ5AmlRokqq7kFX2bb246uNPZM61dArqfrYtIp7JX1/72Gh+nVle3r81l67hErPzStmNMzlWb2/+vnpuw0Ky0/6cHg19iBd8JkPxlXix4ePDtw+pF53//rgtPCR6x8QBK0G28yfV7flWnp1vtrY87P6uFqItopz4VZSi205LmhUeT+/YsbcyiHZ44/j8Pj75i3NFqa78MBRcehxuzX2e9G2BTpV/T1cy6Jar77R0MO4U9V0OrUIXjFpekg/W8Yvky6KQ9+3jl9IbYh047TnwoxFDYuFnbHP7hvilM5BgAABAhtZYPVfPxu5IoonsCkLpIWBevZsCMBUek9W6lvpeZkCkGkOzqLShAkTwj777JOt5N69exyG+de/hjPOOKPV4iuLH6WM55xzTthmm22a/fnGN77RdC6LITVRtKknPavm/VzSOGVCSwCLq+auS3Mkrk96Ic61eMvcJdkpPj14+6bVYdfnnI7dfAV6dWxY1ChdYfV8oHlXvHhlw7D0NP9hPWnbqnadeoDmpa7xA3hl/+QlL4dKz9G8/JXt6fwf2qF3+MuH9wpfGbNztnnCi4vDz5+YWcnicTMX6FnVxmqZ17Myj229bbl6ftG0cFFe6hb/P7B3Y1t/IrblNxunRkmr1X9zYsPQ9wv2GREGx4XB1k6NnUzX3ux1GxHYtmoRr1rm9Vz8SsOidNt1qX3Rt7kvrwhfaFyh/esH7RXG79inWd130hbT8PeUesbr+Idhejc3C2sjAQIESiawYb4iK9lFqy6BegXSIkGf/exnQ1pY6I477ggzZswIQ4YMCStXrgx//OMfs9N99KMfDTvuuGO9p35H+f/yl7+EY489NhuOnxZcuvbaa8Pw4cNbPdesWbPC9ddf35TvlVcahhc3bch5ctVVV4WFCxeG7bYz/CeHaLPcnHqw9YoffhfFed9SQLK1NLNqJe6dWlmJu7Vz/c+sBaHS5/QTcVimRKAlgUHdVn9gTqto7xnnM8xLabjugsZVrQdXHZeXv3r7jvGD+VNLV2Sb0tD1llKf2HM5pRQvSqtjb9uxvu+cvx17kf4yDjlOCyxd+vTscHZjQLSlMu0rv8CgxpWw05WkqRb22C6/La+Ii80tbAzm19uWB8a2PL1xipH2rfTc7NOp4YuChrb8RugRg7Rpoa7X4oaBXbcOb8bo0m+mPL8Ofvpdq6S/x7ltK3ne22/bMLxH18ouj5upwKAe3Zqu7Pm4Ivy4/vn/L18eF6Rb1BgA3WnbbZqOa+3J2f97T0iB0+7xy6ztu3YOv37giWYPea2x1//keYua8uwR67PXDs0HTF+O9fnfqc9m5zp8xE4hrVIvESBAgED5BQRAy38PXUFBAqeddlr48Y9/HNLCLGku0G9961shBSKXLGnopVYZJv9uV+fmm28ORx99dLaI0X777ZcNf6/0Tm2t7DSfZ5oDNKV0DbvttluLhzz88MNZr9bXXnstXHTRReErX/lKi/nt3PwEdt+2a7gjDnF8PAZ9UttvaYjjo42rtfeOH44HNAZ/3qnIX2cvyg7dPp5rXKyDRKAlgdE9V3/QnrQozos8uG9u9kcXrl6ZfVwLwaXmTjAqlnPr7IXZrjQn4sCqYNXa+auHfFaGEKc8r8f34HnxC4Vt4pcL27SwSnFaECSdP/W0e+alV9c+vdebqcDuvara8uKXwxGDmw/QpMt/NLb1Stpju9qDRumYUT27htvmNLzPzl6xKuwQA5l5qXpaicq0EZU2meYQTYsotZaunjkvpJ+UfvXekQKgrYFtBvvH9Fv9pfljLy4Mh+/W0Ku9uUt7ZM6Cps3jBuQHSpsyNT55ZnHDEPVl8Uut/xPnAW0t3fnM7JB+UkqLGuUFQG+ePqtp6pEP6/3ZGqv9BAgQKI2AAGhpbpWKbmyBXXfdNRx88MHhtttuy1ZbTwHQP/3pT1m1dtppp3DooYe+61WcOnVqOOqoo7Lg5wEHHBDSfJ5dunSpqdy06nta/T2ldC3HH398q8eNHTs2fOc73wnPP/98SMHTs88+u8UAWKsnlKF0Agf3iYtjxADostgL7e/xw/Y+OR+yF656PTwUh0emdEjfbdfrOlOvofsag1QHtNCTb70KcfBmJZACk71jD6DUs/Pm5xeEf4nzFualm15Y/UH7gzus/oCel796+/sH9Ao/ebyhV9AdMUj/mWH5i3NNisGrlAbE3tBbN841evnTc8Kn44rvKf1/cQ7Rc8cOyZ7n/bOosadq56o5TvPy2r55CKRg/uq2vDB8c4+huRd20wsNwfiU4ZABdbbl/r3CT59oWNTo9hgIPWHXAbnlVNryDrEtV1ad/0D8XWhtuom00NLNjXUcHleH37lxmPyOLXxxkFsJO0onsHtcNGi72GYWxi+LUkDxmx/YO/cabpo2q2nfB4cObHre2pP9B/UL23VePQIgL/9N05/Lpm9IvVJH9umVZdt1u/y/VW57enWP5vduoBXl8+pmOwECBAgUJyAAWpy1kjYDgdTLMwVAp0yZEu67774sAJku69RTTw1bVC0o8G5cauq5mYKWadX3wYMHZ71Paw1+pvpcc801Ye7chgUMKgsctVbPdE0nnnhiFgSdPn16Nvw/BYGltiNwXFyM5V8mzcyGo/9i+pzcAGja1zg1XDg+ztm5Punh2OOtskLxWL0/14eyzRy7RRzC+6mh/cPPnpgZ/jZ/aXhowbJmh8Gn4PqFUxs+2I6IQ3BbGl7cHN4HY5CpEpz6aQyEHr/LgGzhjbXz3jN3cey12TDFSHVgap8+qz9w/2HaC+HLu+8U2uf8v+Pv8TrSQkgpjelVX+++tevjdXkEUls+bki/8PPJz4X7Yxt4eOGyZttpGv5eacu7xffJcTlfTuVd+Ydi8H+7rTtkQ+h/Gn9vPh1/f9IiMmunu+MctM++3NAD+ZAY9Kyki9/f+qIwy157PfS6+LbskM/GAGtlXtvKOTxu3gJbxPb0qTHDws/veyzc99yLIfXybG4Y/IrYTirzbY7s0zOMbWGo/NpiP/roe9fe1OzrHt/6ZXg5flH7sTic/WeHH9hsnuqNf5vV8Pdynzisvm+32joaVB/vOQECBAhsmgL1TUi1aV6DWhEoTOCII44I/fr1y8pLQcQ0B+hWW20VPve5z7Vah1WrVmXzaKa5NCs/S5cubTouBTYr2yuPaeh5JV188cXhoYceyl5++9vfzoayV/LlPaZzVtIvf/nL7GmHDh3CZz7zmcrmVh/TtVWCuxZDapVrs8swOA6L/NSghoDmZc/ND79/puFDQfWF3jFvSfjBkw29N8bH3ksf6rfuiu1nPzwj7HnjQ9nPlMZ556rPUf188rIVTS+H1jlHY9OBnrQ5gS/GYOLWjau0n3DHo+HFxvnkKhBp6PnJEyaFuY3z2Z7XTM+6ObGn0h5X3p39nHTnpMqhTY9p1fdzx+6cvU694s6454l1Fjh6fvmr4eSqYz8/clDT8Wmu0o80zmk7NU4rcVKsz6tV8yRWMj4dfwc+09hTNG07Ydf8nqaVYzxuPgJf2n1wU0/LE+5Y3WYrV5i15bueaAqQnzdu3Z7Es1Nb/vO92c8pdz1eObTpMWvLjfPKPhZ793/+3snNt+VYTiV9fmTtPfMqx3hs2wJfOmBs6NjYA/6fLr8ppEWLqtPrcW7Ok668Ncxb3vCF0XkH7129O3uezR/608vCuPhz6p8bAurrZNqAG96K3+ZOmb84O+PQXvlz8G7AIp2KAAECBAoS0AO0IGjFbB4CKXh40kknhe9973tZL9B0VZ/85CfD9ts3BIhausrLL7+8xcDjl7/85ZB+qtOVV14ZjjzyyGxTZbGl9KLWAOZxxx0XLrvssjBt2rRw++23Z+c5/PDDa6pvljn+M2jQoHDIIYeENPdo6kU6f/78uo6vnMdjeQV+NG7ncE/sUTcrBo5OfWBa+GOcx+2guCpwWjhjYgwCpfk6346Xt02HLcOF7xnW7IU+Gz+MT2pcPOaVxsUIms0YNz4f56OrpL51rtJdOc5j2xNI82X+x74jwhfifIRpoaJRV9wVjt65XxiyTefYy+21cE1stzMae2Wm7cfGHm9rpzTXYWW4b5qjs7l01qidwg1xka40bPh3sTfpfbG3ZzpfWsE9zdf5pxlzsoWL0rEpWLr2gkw/P2Bk2P+a+7Lg1X/HntM3P78wfDR+yZAWv3ktBmmfiL9TN8Zh/K83dqlOAdNjY49Aqe0IZG15n+HhzHufDClQPvJ/7o5trG9jW359jbZ8TNx+TDPto7ot98hty4PCDbGt3TFncexN+kK4d+6SrJzVbfnFprb8f2OwtN4e023njrnSPIFBcUGjH/3DAdn8nFPmLwm7XfDHcMzuu4Sde3YPi+LfBVdNfjo8s7hhXubjxuya7Vv7XKvil0ST5jZM97Btp4bF5dbOsyFfp2Dsa/H/BSn120bvzw1p61wECBDY2ALN/3W/sWulfAKbsEAa7n7++eeHNxuDOEUtfpTm8HynqdL7Mx1/yimn1H2a1Ns1BUAriyGde+65dZ/DAeUVSEN+bzt4TPjUfU+GBxcvD3fF1XzTT3UaEnuKXrrfiDCie+fqze/o+eK46nwlpaCqRKBWgdN2GxTaxf/O/tuTYVlsR79tHO5effypIwaGn+zX8gJw1fnXfp6GCV/z4b3C6bFX3aVxTs8UoPruw0+vka1DzPPNPXYJX2+ml+ngOA/iPUfsF065a1K4Mwae0rylFz31whrHpxdpNHKq64/2GWHu5XV0Nv8Np+82MLbkEL7yt6mNbXndNnLqiB3DT+P77jtNafqFvxy6Z7ai+6VPv9jYlmescbqtsrY8NHytmV6ma2T0gkCOwOf33T17Dzvn+ntCWqzoNw9MXifn6e8ZFX5y2PvW2b4xNix+dWVTsdt03KrpuScECBAgUH6BdnFV39RxRyJAoA6BOXPmhDfeaAjSDBxY25CwFStWhEWLGlZcrbWo3r17h06dGiZ3Tz0v05D7elKaI7RXr15h3rx5IQ3BT2nHHXes+8N0CvbOnt2wambnzp3DdtvVt9hCPXXeWHnfuumq8NZFP91YxZei3PS/i1tiD6Eb45xwM+LKv2/F14PiAgdpoaTD4txwHXLmMkwXd33sLZeOSenYgb3D9i307Lw9ljG5safep2PPuJ6xZ51Uo8CIsWGLfQ8Mb195YY0HbJ7ZFry6Klw+48WQ5tFMCwl17dA+pNW1j4o9NYfHuT/z0ktxLrqLpzW81/Xv3DEcGfO3lNKK8n9+9sUwJfb8TPOLpp5zqcfnsUP6Z4sftXRs2jcx1u/6WfOzwFOaL3HL2Kt6+9jDKc3nmFb/btOLxQwbHdqNGh/b8m9bY9ys98+PbfmKGXPD3xektvx66BqHEze05b6ttOU3YltuCJqmhbg+uVPfFp0a2vLcMGVpastvNbTl2A5T7+N0/DtJqRfdr6Y0TI+yf1wcr832IB02JrTb/5AQ7rz2nTBuNsfMjz0r//TYtDDxhXnZwkjd4vvl6LhQ0tGjh4bh2/fMvc5lK1eFix+aku3foXvX8MlRQ3Pz5u345d8ej7063wxj+vUOB+6cv+BXOn7hilfDpY8+lZ0q1e/9Q3bIO23b275t79DumNNDu/goESBAoIwCAqBlvGvqTIDABhcQAN3gpE64MQQEQDeGujLfDQEB0HdD1Tk3hoAA6MZQV+a7ISAA+m6oOicBAgUKbFFgWYoiQIAAAQIECBAgQIAAAQIECBAgQIBAoQICoIVyK4wAAQIECBAgQIAAAQIECBAgQIAAgSIFBECL1FYWAQIECBAgQIAAAQIECBAgQIAAAQKFCgiAFsqtMAIECBAgQIAAAQIECBAgQIAAAQIEihQQAC1SW1kECBAgQIAAAQIECBAgQIAAAQIECBQqIABaKLfCCBAgQIAAAQIECBAgQIAAAQIECBAoUkAAtEhtZREgQIAAAQIECBAgQIAAAQIECBAgUKiAAGih3AojQIAAAQIECBAgQIAAAQIECBAgQKBIAQHQIrWVRYAAAQIECBAgQIAAAQIECBAgQIBAoQICoIVyK4wAAQIECBAgQIAAAQIECBAgQIAAgSIFBECL1FYWAQIECBAgQIAAAQIECBAgQIAAAQKFCgiAFsqtMAIECBAgQIAAAQIECBAgQIAAAQIEihQQAC1SW1kECBAgQIAAAQIECBAgQIAAAQIECBQqIABaKLfCCBAgQIAAAQIECBAgQIAAAQIECBAoUkAAtEhtZREgQIAAAQIECBAgQIAAAQIECBAgUKiAAGih3AojQIAAAQIECBAgQIAAAQIECBAgQKBIAQHQIrWVRYAAAQIECBAgQIAAAQIECBAgQIBAoQICoIVyK4wAAQIECBAgQIAAAQIECBAgQIAAgSIFBECL1FYWAQIECBAgQIAAAQIECBAgQIAAAQKFCgiAFsqtMAIECBAgQIAAAQIECBAgQIAAAQIEihQQAC1SW1kECBAgQIAAAQIECBAgQIAAAQIECBQqIABaKLfCCBAgQIAAAQIECBAgQIAAAQIECBAoUkAAtEhtZREgQIAAAQIECBAgQIAAAQIECBAgUKiAAGih3AojQIAAAQIECBAgQIAAAQIECBAgQKBIAQHQIrWVRYAAAQIECBAgQIAAAQIECBAgQIBAoQICoIVyK4wAAQIECBAgQIAAAQIECBAgQIAAgSIFBECL1FYWAQIECBAgQIAAAQIECBAgQIAAAQKFCgiAFsqtMAIECBAgQIAAAQIECBAgQIAAAQIEihQQAC1SW1kECBAgQIAAAQIECBAgQIAAAQIECBQqIABaKLfCCBAgQIAAAQIECBAgQIAAAQIECBAoUkAAtEhtZREgQIAAAQIECBAgQIAAAQIECBAgUKiAAGih3AojQIAAAQIECBAgQIAAAQIECBAgQKBIAQHQIrWVRYAAAQIECBAgQIAAAQIECBAgQIBAoQICoIVyK4wAAQIECBAgQIAAAQIECBAgQIAAgSIFBECL1FYWAQIECBAgQIAAAQIECBAgQIAAAQKFCgiAFsqtMAIECBAgQIAAAQIECBAgQIAAAQIEihQQAC1SW1kECBAgQIAAAQIECBAgQIAAAQIECBQqIABaKLfCCBAgQIAAAQIECBAgQIAAAQIECBAoUkAAtEhtZREgQIAAAQIECBAgQIAAAQIECBAgUKiAAGih3AojQIAAAQIECBAgQIAAAQIECBAgQKBIAQHQIrWVRYAAAQIECBAgQIAAAQIECBAgQIBAoQICoIVyK4wAAQIECBAgQIAAAQIECBAgQIAAgSIFBECL1FYWAQIECBAgQIAAAQIECBAgQIAAAQKFCgiAFsqtMAIECBAgQIAAAQIECBAgQIAAAQIEihQQAC1SW1kECBAgQIAAAQIECBAgQIAAAQIECBQqIABaKLfCCBAgQIAAAQIECBAgQIAAAQIECBAoUkAAtEhtZREgQIAAAQIECBAgQIAAAQIECBAgUKiAAGih3AojQIAAAQIECBAgQIAAAQIECBAgQKBIAQHQIrWVRYAAAQIECBAgQIAAAQIECBAgQIBAoQICoIVyK4wAAQIECBAgQIAAAQIECBAgQIAAgSIFBECL1FYWAQIECBAgQIAAAQIECBAgQIAAAQKFCgiAFsqtMAIECBAgQIAAAQIECBAgQIAAAQIEihQQAC1SW1kECBAgQIAAAQIECBAgQIAAAQIECBQqIABaKLfCCBAgQICHaqENAAAGlUlEQVQAAQIECBAgQIAAAQIECBAoUkAAtEhtZREgQIAAAQIECBAgQIAAAQIECBAgUKiAAGih3AojQIAAAQIECBAgQIAAAQIECBAgQKBIAQHQIrWVRYAAAQIECBAgQIAAAQIECBAgQIBAoQICoIVyK4wAAQIECBAgQIAAAQIECBAgQIAAgSIFBECL1FYWAQIECBAgQIAAAQIECBAgQIAAAQKFCgiAFsqtMAIECBAgQIAAAQIECBAgQIAAAQIEihQQAC1SW1kECBAgQIAAAQIECBAgQIAAAQIECBQqIABaKLfCCBAgQIAAAQIECBAgQIAAAQIECBAoUkAAtEhtZREgQIAAAQIECBAgQIAAAQIECBAgUKiAAGih3AojQIAAAQIECBAgQIAAAQIECBAgQKBIAQHQIrWVRYAAAQIECBAgQIAAAQIECBAgQIBAoQICoIVyK4wAAQIECBAgQIAAAQIECBAgQIAAgSIFBECL1FYWAQIECBAgQIAAAQIECBAgQIAAAQKFCgiAFsqtMAIECBAgQIAAAQIECBAgQIAAAQIEihQQAC1SW1kECBAgQIAAAQIECBAgQIAAAQIECBQqIABaKLfCCBAgQIAAAQIECBAgQIAAAQIECBAoUkAAtEhtZREgQIAAAQIECBAgQIAAAQIECBAgUKiAAGih3AojQIAAAQIECBAgQIAAAQIECBAgQKBIAQHQIrWVRYAAAQIECBAgQIAAAQIECBAgQIBAoQICoIVyK4wAAQIECBAgQIAAAQIECBAgQIAAgSIFBECL1FYWAQIECBAgQIAAAQIECBAgQIAAAQKFCgiAFsqtMAIECBAgQIAAAQIECBAgQIAAAQIEihQQAC1SW1kECBAgQIAAAQIECBAgQIAAAQIECBQq0O7tmAotUWEECBDYBAXenjc7hJeWbYI1UyUCdQi03zKErTuHsHJFHQfJSmATFNiyfQgdOobwqra8Cd4dVapHYMv4vtylWwivraznKHkJbHoC7dqF0L1XaNe566ZXNzUiQIBADQICoDUgyUKAAAECBAgQIECAAAECBAgQIECAQDkFDIEv531TawIECBAgQIAAAQIECBAgQIAAAQIEahAQAK0BSRYCBAgQIECAAAECBAgQIECAAAECBMopIABazvum1gQIECBAgAABAgQIECBAgAABAgQI1CAgAFoDkiwECBAgQIAAAQIECBAgQIAAAQIECJRTQAC0nPdNrQkQIECAAAECBAgQIECAAAECBAgQqEFAALQGJFkIECBAgAABAgQIECBAgAABAgQIECingABoOe+bWhMgQIAAAQIECBAgQIAAAQIECBAgUIOAAGgNSLIQIECAAAECBAgQIECAAAECBAgQIFBOAQHQct43tSZAgAABAgQIECBAgAABAgQIECBAoAYBAdAakGQhQIAAAQIECBAgQIAAAQIECBAgQKCcAgKg5bxvak2AAAECBAgQIECAAAECBAgQIECAQA0CAqA1IMlCgAABAgQIECBAgAABAgQIECBAgEA5BQRAy3nf1JoAAQIECBAgQIAAAQIECBAgQIAAgRoEBEBrQJKFAAECBAgQIECAAAECBAgQIECAAIFyCgiAlvO+qTUBAgQIECBAgAABAgQIECBAgAABAjUICIDWgCQLAQIECBAgQIAAAQIECBAgQIAAAQLlFBAALed9U2sCBAgQIECAAAECBAgQIECAAAECBGoQEACtAUkWAgQIECBAgAABAgQIECBAgAABAgTKKSAAWs77ptYECBAgQIAAAQIECBAgQIAAAQIECNQgIABaA5IsBAgQIECAAAECBAgQIECAAAECBAiUU0AAtJz3Ta0JECBAgAABAgQIECBAgAABAgQIEKhBQAC0BiRZCBAgQIAAAQIECBAgQIAAAQIECBAop4AAaDnvm1oTIECAAAECBAgQIECAAAECBAgQIFCDgABoDUiyECBAgAABAgQIECBAgAABAgQIECBQTgEB0HLeN7UmQIAAAQIECBAgQIAAAQIECBAgQKAGAQHQGpBkIUCAAAECBAgQIECAAAECBAgQIECgnAICoOW8b2pNgAABAgQIECBAgAABAgQIECBAgEANAgKgNSDJQoAAAQIECBAgQIAAAQIECBAgQIBAOQUEQMt539SaAAECBAgQIECAAAECBAgQIECAAIEaBARAa0CShQABAgQIECBAgAABAgQIECBAgACBcgoIgJbzvqk1AQIECBAgQIAAAQIECBAgQIAAAQI1CPz/LeJOlQ6/C0UAAAAASUVORK5CYII=" width="672" /></p>
<pre class="r"><code># check distribution
summary(tm$anti_immigration)</code></pre>
<pre><code>##    Min. 1st Qu.  Median    Mean 3rd Qu.    Max.    NA&#39;s 
##   1.000   1.600   2.200   2.313   3.000   4.000     116</code></pre>
<pre class="r"><code>hist(tm$anti_immigration, 
     freq = F,
     col=&quot;dodgerblue2&quot;)</code></pre>
<p><img role="img" 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hTivMvvsZUZh3Bj1fG7rT2Ggq8ObTcU59XJMuM94eyzz86LXHrppdPf//73tsXX5f8bbSvoCQIECBCYKQEB0JlisxMBAgQIDLfAb37zm+E+ZMvxogdJf0GVlp1sIDBEAtdff31LydHD76abbkpveMMbWp4b7IZf/OIXPcHPwe47Uvlj6Oqaa66Z7rvvvkFVIYZZH3roofmw129/+9uD2rfOmaMXbBH87K+eiy666LANd6+qy+te97oRPX5VnUbLtiWXXJJdH4317LPPposuuqiPHL2fivloJQIECBDoPoHh7zrTfYbOiAABAgTGiED0/CyGA4+RU3aaNRYopmJoruIqq6zSkeBnlHnGGWc0Fz0q7u+5556Vwc9Y1OQjH/lIzzmst956eQ/Zng3/vfOd73wn/epXvypvHrWPR2MbjlpsFa+twAUXXNAzDURtK6liBAgQIDDkAgKgQ07sAAQIECDQLQKCCd3Skt1xHo1Go+VEogdoJ1LMGRlBg9GU7r///nT++ef3qnJMk3HKKafkvWKPO+64nufi3GII7NSpU3u2FXe+/OUvF3dH9W1cHzEHqkRgrAv47B7rV4DzJ0CAwH8EDIF3JRAgQIDAqBD45S9/mcrD0t785jdXBjCaT+ihhx5KMZQ3hoLGsNgYxh7zpcU8iTFscPXVV08bbLBBvlp2837F/ZgzLIbHxl+5Z1j0wDv99NOLrGnKlClprbXW6nlcvhOrHF9xxRX5XwRfHnvssRTbYnGZGH4avfdiRe/555+/vGufj2MxnAsvvDCF0d13351i7sbXvva1+bltv/32+f0o4IEHHki/+93vepUVQ6Xf9a539doW51UeLjjPPPOkzTffPM8XcyzGMOEYgh0BpjjGBz/4wV5lFA+ee+65dNlll6Vrr702/eMf/8gXkAr/OMeYX3L99ddPq622WpG97W0suhXDGJvTpptumi9kE9vi3E4++eT0xz/+MT3zzDP5Qi8xFHqnnXZKsThXOV199dXpnHPOSbfffnveqzeG38a8mTvuuGOaOHFiOXtHHkdbx4I80QZx3KL9wzba/y1veUve/gsuuGDb48Xw9htvvDF/vmr+2Wib5msyFvqI8xpIisVy4rUSKY4RbdecYiGh5rLjtbPUUkvlWaJtf//73zdn7/V6iGBcXKMReLznnnvyuSZjHr4tt9wyvfvd7+61XzyI1+mPfvSjFO0UCzHFfKYx5260z8orr9ySPzbENVYOCsc12+7aDPOf/OQn+XXYvFr2b3/72/x6WmSRRSqPExuvu+66FHOwhsm///3v/P0h2nHxbCGlmHNz4403Tv0Fo5vbsjjQ8ssvn1ZaaaXiYfrDH/6QfvrTn+ZzDUdQ+tWvfnV+/jvssEP6v//7v558xZ1osyIIHO938bpoTmHf3IbN76HN+zbvs9lmm+XvUc3bhuL+iy++mM4999yWoptf58WT8X4e9s0p3MIvUpT14x//OF1++eUpPgOiLeJcwy16A5dTBM8jUP6Xv/wln/bhVa96Vf5+HHM+x/t6uxTv4/Ge05zic2WNNdbIN8V1FSMHLr744vzzZ84550zLLrtsvnjZ2972tubd8vux8nhc9/FaitdjvBdFfeMaLs6tZadsQ7w3xntkOW2xxRZtP9sib9Sv+Oy466678s+OhRZaKP/s2G677XoW+fvnP/+Z4nXRnBZeeOGW126895Z/OJk0aVKKekSKKSqil3W0X3wOvO9978sXIGsut7gf13vx2RGfa/G5FPvE+3l8dkQv7sK52Kf5Nt7f47MwPh+L97Xi+ahn8+sgXuvvfOc7i6fzz4bYtzm9/e1vT4sttljzpsr78d516aWX5u8R8XqLY8XnZNQ73i+j3eM9ORZR7C8V59Ccb6uttkpzzTVXvimM4v8o0TbxWg+feF9bZ5110tZbb53iepMIECBAoEkg+4+iRIAAAQIEBi2QLSgQ3c96/WX/wR9UOdmiKr32j/KyQEdlGe94xzta8n7hC1+ozBsbsy9sjSww18gWM2jZr1zvLADZOOiggxrZl+aW8uK5cv52j7NgTsv+sSH7ktnIep81si8m/ZaVfWFpZF+6G1kgq7Ks8sZsEZdGFkhqW272RamRLfCS7/b973+/JV9VnbMvmy35spWj8zKyoFsjC172ev79739/uVqN7ItZY//9929kQaFeeavs/t//+3+NLPDQUkbzhuzLf0s5WZAgz/KDH/ygEedZVXZck1lguKeoaOMsCFKZN/bPgkqNOMdOpizw2TjxxBMbWXCs7XGLumdfihtZsKORfZmtrMIXv/jFfssoyorbLKBeWU7VxriWmvft735c00XKgnQt+2ZfwvOnswBho+r1W5SffaFvvPDCC0VRjezLfCMLwrSUF/mzL/iNfffdtxGm5RT1Kcosbg888MCebPE6LLY3Hy8LpOTbsx9FGllQt5EFWRtZALhnv+Y7WXCnkQVfesopyivfxnWXBXqad225/41vfKOlnN122y3Pl61W3Xjve9/b8nxxnGwV60a2YFNLmVnApe0+xb7Nt81ltNs3C/K1HGcoNmTBscq6Z4HilsPFe0vzecT9z33uc3m+aLslllii5fnIkwWiGuXPjeOPP77t+0cWgGxkP6y0HL/Y8MMf/rDlOHE9R4rPoFVXXbXl+aLe2Y8zjeyHtaKoRhYkbcQ1WDzffBv1jtd+u5TN81q5X/bDRLtdGlkQv5EFYyv3i2PHZ3HWGzrfv+o83/Oe97SUnQWSW8qbPHlyni8LWDeyH3d6Pb/NNtu0lBGvzXjdDuSzN/vRqJEFoFvKiA3xGmw27Ot++Vyq9s0WD6s8TrEx+0Gr8YlPfKIR10xfx4rn4v3tW9/6Vq/2L8ppvs1+wGopKxwjZUHWRvbDXcvzxbGzYGu/n6vNx3KfAAECY0EgfimXCBAgQIDAoAXqHACNL8ztAijFl4Oq26zHYCPrvdHLYiBfwoqyqoKJTzzxRCMCQUWegd7GF7AIBPWV4vl2gb/ycQ455JDGl770pZZ6RDCwnKoCERFwiaBT1Rf6cgA0zrkqX7lOzY/jS2PWW6tclZ7HESRtzh/3I2AQgbcIipWfa36c9UBqRIAgUgTFm5+rup/1+GpEAKoTKeu11Mh6GPd7zHI9sp5+vQK3RV3qGgCNL+Plc4jgRNaLKg8qlp8rP/7whz+cn+Jf//rXRtZbr6Wscv4IHpZT1oOvZb/m67tdADTrKdmIIG1/abD2Ueddd921bbERIC2fV9YjLg8GZ72iW54r543H8bpuTu2CmFX7xrbRGgA97LDDWnw+9rGP5T8cZb3fW54rn38RvM+GRvebN4KP7d6bIihWLjvr0Zz/AJT13Gx5rpz305/+dN588WNO/PhVfr78OIK1VWmwAdCsJ/qAAnVx/AhGfv3rX2+pW1yr5ZT1Wm3JF+/P8dqLz9fy+ZQDoPF+GT9ClPP19TgCtVkPz3JVhjUAmvXUbmQ9YgdV7zinrAdrIxvZ0lL3YkPWm7ilzLhW4nzjM7kvl3guAup9BcGL47glQIDAWBEwB2j26SARIECAQPcIxFD1GPpVHi4fQ8OK4WcxRLVqeGvWAy5lPbA6hhELJsVQ2PLQ+eIAMZw1hl7H8LhyiqGQsW/VSt+RN4YDxhDFGOpZlWIYdQxRLFIWMGgZohzPVQ2Ri2GX5RTDCGNY/J/+9KfyUy2Ps2BWZb4Y8hzDabPegCn78tZrv6zXT34+WfC01/biQTHkr3gctzEsMwswxY+5zZtb7sfQ3ix4lQ/1HMhccDEc9pvf/GZLOYPdENdi1rOoZfhlUU7WM6pt+2cB2NyqPLy22Ldut1XtE0M/jzrqqHwYd3/1zXqY5dMCZD+sDGixkmLF9uZyY2hxOcXw0GJocLvrJIY4Zz2cy7v2ehxlZL3Ee22LB9GGMYXGJptskqqmLsh6XfcaattcQJVZDGWO48QQ+4Gk7EeNdOeddw4ka1flaWeXjSrIp0zo72SzXqB5vlg0q78UU1fss88+ldmq6hHXfbTLzTffXLlP88aYSiSmKoj3zPKQ6+Z8xf2s5+uAXh9F/qrbuMa23XbbFO+5VSleCzF1RpG+8pWvtEydEs9VfXZUecTrLqYAiM/X/lIWxK58v4jP7vjsiClmykPH43M2pmGJKQNGIkU7x3D8GN5fTvH/jpiOJvtBs/xU/jim7Yhpb9q1RZVnXC8f+MAH8qH9lYU2bYzP03bXblM2dwkQIDB2BMZKpNd5EiBAgEBnBeraAzSbQ66lV0T2pakRvbzKKXrBVA0hy77Q9GSNodkxxC6GyGf/O+j1F8Ms47niLwtE9OwXdz772c/2yl/sH8Ptmo+RBTsb0aOpqkdHNu9h5TC5dr3Rsnnweg17y+Z1a2Rz6FXWI+qTrYzdq87xIPsCX5k/m7cs3x7TCsSQ5ugBFL1bYyqDIsWwyuI8m2+L4alFvhimWtW7thhyWeQrbrN5SlvKXWaZZfJt0b5ZcLaRza/aiCHEzcct7sexsjkA8+fCP5tbrpHN4djIgsiV+WO6gllNMdS2OH7z7UYbbdSIno5Fit6mX/3qVxsx/L05X9yP6Q2yL/hF1ryHW3G97bzzzi35o0dR8XzcDmb4chYY6dk3m5u1pezoPdtcdnPPpSuvvLIlf/RijukSondvtGv0XMrmZWw7PDmbGy8vI3q/ZoHTRgzJj6G37Xr0lXvDZUH6RvbDRks9wjGb3y+fhqLwjWG2g0lVw96jh18Mey1SlFnlFsOMq9JJJ53UUtfo8RU9AaPXXLw24zrN5kFtZAH5RrgU9W++bX5txbVStFH0zG7OF/djuH/xfNzGMO0ites9OphrqChrZm6rep5HnauGwB9xxBEt5xZDfsMteuLFlBNx/WQBxsr3mSi3uN5iv2w+yPz6zIJ9+dDvsls8zn6MajmtbP7MlnrEsOXodR7vOTHMOeoRw+irhjM31yOGhx977LF5/rhtNxw+C+q31GMwPUDjvabq/OL9MfuBq6fs6DmYzaFbmTf2j/efcorXQFXZxWdH9KYN9/jsWHfddRsf//jHe4oI36p9y1NexGdnDKsv5y33ho7y4hqv+qyMXv7Nr4NihEBRmYEOgY8pDKqmZ4nP8uxHmkb0iC3S3/72t0YWxG2pd5zHZz7zmSJbr9sVV1yxJX/xXhTncMwxx+TXyyWXXNKIEShlk3gc5gOdUqfXwT0gQIBAFwpErwmJAAECBAgMWqAqABr/2Y7haAP9q5qfM/atSlVzCJbncov9PvWpT7V8CWieA7JcdgRkii8NEWCIgGPVXF9VwYrI2y5FYKFqSGO2GETl/IVRTtUchlG3U089teUwVfNJxjydzUGpYqf4khaBseI8m2+jHcsp5u9sztN8P4K+fc2RWeUfgYCq+VU/+clPthwn6lmV2k0jEMHPGGbdnGIO1eY6N9/Pege3+Gc9bSvzVwXNm4/T1/1s4Z7KIaZZT8F8OGjVvlXXWNQ95jitShH4aj63uB/D7TuRqgLDzYHu8jEiuFmuS/E4pipoThGUj9d58XzzbQSBI4jenCJQEYGt5nxxP+ZKLadsAZmWfOX94nEEwQ8//PA+r+Wi7BtuuKGyzBg+XU7Z4i6VebNFr8pZG1VD9ou6Vs07GQ5VP5LEcPmqVPVazHr+VWXNt42mAOjRRx9d6ZwtXtQo/xCVLQpVmTess0XgGvFabU7t3oer5nSNwFPRZs238dkWP8g0p/jRo+ozL/aLaR/K76sx7L65zOL+Xnvt1Vxsfn8wAdCqOaMj2BoB6HKKHxWyxX8q61EVAI3PmqKe5dtsAaG2c+vGcat+MAyX+Dwqp5g6oFx+tohgOVv+OD4/y3nDoK800ABoBNrLZcfjeC+vSjEVQHwGlPfJenpWTsORLfjWkjf2jfpXTdtR9aNY5I//50gECBAg0Gi0jrnL3iUlAgQIECAwswIxHG2gf9mXgZk9TNv9Ymh4OVUNTSvyZL0mUqzkG8OkY7hY9iU0Hx5YPD+zt7GicHlIY/blN189PYbFVaUY/rfccsu1PHXaaaf12hYriGfBil7b4kEM56wahhvDzbMeeC35221oV78Yqh8rUsdq3O1SDK2MYeYnnHBCOvLII1MMvY9jZwGvll1ilfZyynrJlDf1+TiOUR4SmX05rtwnHGJIdvn8skBRZf64LmY2ZV+6W4Y1xnFjyGvVlAdxnOzLa5o6dWrLIaOs0ZpiGof4a06xenmxKnTz9rgfBtl8r702Z/PJ5kNfe23MHmRBn/KmfGhou/ZvzhwrX0e+WFk7CybkQ5bbTb8Qq2LHavFZUDJfwTrrQZcOOOCAfCXn5jLjfqxQXzVsdTDXddhkC+SUi07hEO9X5RTvB9J/BGK4b6zC3pyyXowt24rnY7qBaN/mtMsuu6SYnqScqq63cp7icbwPxlQfzSle21mvx+ZNPffjvbv8vpr96JOyHoA9eYo7g6lHsU9xG6upV+2/++6759NxFPmK2/jMiiHws5rivS9eQ1kv07ZFxerm5c+OOHbVlCwxjU05DeY1Vt53Zh9nvdBbdo33r3gfq0rx3p/1Cm55KqayCZ9yKn9WFc/H52vVtB0x9ULVPt4jCjm3BAiMdYHeE3CNdQ3nT4AAAQKjXqAqALjHHnukhx56KGVDQlPW46fXOUZgLgIgnU4///nPW4qMgF/MN9guxReXCHCUv3D+7ne/SzGfZBHoazcPZ8w32S5lQxDz4GjWa6Rdln63xzxn2RD7PvNlvdFS/A0kZb2OWrJli1C1bGu3IRsCn7KFdlqejqBW1hMslcvKhl62tH/snPU6zb80Zr+M9yor5mGd2VTV/vHFOIJ/faVo/2x6gF5ZsiHQ+VyvVYG1Xhlr+CDmqa1K8Vo466yzWp6KwFFVivzxOmhO7donAgxxnWbDSvPXffM+VfdjDs2YEzKC6d/73vdafgCJuXQjODOQFK/hmBe0PDdvzAs50BTvV+1SBNBiXtPmFD/6xI9JEawa66mv6y3redyLJ4JR2SI8vbbFg3ifzXoTtszd3O56aykg29BXPbIFbFp26eu6z3qO9so/mHr02jF7MDOfHRHIjddAXz8klo9TfhyfPxHA7yvF+2P5x492+as+O7KeosP6Oog5R7Ne2S1VbNeWRcb4kTOC3bfeemuxKb/NevwOaA7y2Deb0qPXvsWD+P9NNkS+pexsqo4ii1sCBAiMaQEB0DHd/E6eAAEC3ScQQbqvfe1rvU4sFn3Yb7/98r9sCHfKVplNEQzLhvblPWyqekz0KmAmHmRzh7bs1d8XwNihKsAYwZTojRiBvUjRi6ec4hyyOQnLm3sex/PROy2bU7Bn22DvtOu91Fc5sXhSBB5iwaL4ghqPI5gbt9nQ4pZdy0HIlgxNG/ryjEBz9OZtThHUqErZfH0pvlCXAwuz0kN5Zts/2qicwit6N1U9V85bt8ftAhrZHKuVVa0KaEfGqvx9tc+OO+6YL4Z2zjnnpPiLhcji+usrRftH4Cp6gva3GFoEg7I5ElMsVlVcz8W1XQ5+xjGrruuq953YFu9L7VK8f1WlOPZYD4BmU21U9qAPr6ofnsKyKpAW+auutzAeaBrMdR8906t6frerR1/XfX/1q/rsiH366pkZz8frMhYymtk0M58dcZ7x40TzZ0fxGsvmha2sStXrrDJjBzbGAoVVx+vrc6k4bHzOlwOg5UB35K0qPxaC6ivFdV0uezDXbl9le44AAQKjXUAAdLS3oPoTIECgRgLRmzKbl2/ANYpVYWMF1U6md7/73Slb9Cdfsbyq3AhaxF82z2f+dAwjixWcYxXe8pDFqv0Hsi16W8SQ+nKqWnm+nKd59d3m5x544IGeAGjVarcxZLNqmHlzGe3Kbs7T1/3ocTnQFD0gv/vd76bf/OY3/QaeBlpmOV+2gFV5U8/jqmGTfeXP5pprCYD2FDbIOxFwrxpOPavtPxoDoO3Mq9onrt92Aalon3KqCg4054kes7FacvzFdBTRW6sILmaLM6V2vaKyORbzHlbRk6o53XvvvSmbNzSdd955KV6PQ5Fitegqm+JYEayXqgVite12qer6iV6N7VJV/nZ5y9sjiN2uLlVtG9di0bu/XFZVPfq77stlND+u+uyYZ555Un/X1XB+dkQP2fjsyBapq/wcbT6fkbwfq7FXpYG8z5dHokQ5Ve8pVT+SVO3bXI/+2rI5r/sECBAYawICoGOtxZ0vAQIEhlAg/uNdNSdWu0PGfG2dDoDGsWIesR122CFdcMEF7Q7dsz2+EMZ8nfEXQ8izxQtSfCGdlRQBsKo0kC8m7fI0B1RjjtVyGsjw6P4CpOUyy4+r5sUr54m6xfyFVcOby3ln9XG7oEGUW/XFcbD5Z7Z+7YY7t2vb5uNUBTzi+XbXVPO+I3m/yjvqE73bqlJV/nZ5q/Yf7LZsQbJ8qoNivwhmRg/keL3H34wZM4qn8h6d3/jGN/LtxcZsEZGUrcreMq9r8Xynbvu6RuMYVW6dOvZoKqfKYbDXz2DzV/lU1SOG1ldtj/2rtneiHlV1q9pW58+O6EmdLWCXTj/99Kqq125bu/fkmX2fj57j8T7Ubo7oAsB7RCHhlgABAoMXqP5f6eDLsQcBAgQIEKiNQPRo+dnPfpYP2ctW7s17ksSXq/5SLIwSPUijZ2q7QFR/ZcTz7b7QDmToYrs8zWU23y/qM5Dzq/ryW+w/kNv+vphFGbGYR1XwM3r2xVyb0XslbOMcogdN1cIPA6lLnfNUtU/Ut13bNp9Luzztymze1/2+BZqDTzFcPKbBiL+YT6/cc715qojf/va3eS/S5iBpHCnKiKHOSy21VL5oTgQmYlvMI9rfcPu+a+pZAkMjUPU+MhyfHQOZniF6XlcFP+OHt/jsiJ6VxWdH9JYsz4U7NGLtS62yjNzt3sObS6rKE5+vA/mMbS7HfQIECBAYnIAA6OC85CZAgACBUSQQQ9vjLxbDiSDGVVddlX7/+9+nmJ/xhRdeqDyTWIAmen8dcsghlc8PZGP0II1gS3moYnmOyaqy2uVpXtypaphwDLmOeb7afSmLYz388MNVh+zYtujN+4Mf/KClvFh86sQTT2wZ2htBpm4MgEb7xBf+8pfcdkOum8EG0v7N+d3vLRC9smJ+wJhPL16HVYvc9N4j5cHNmCM4Fkor0oMPPpgPm4+eo/vuu2+vHqKRJwL5v/zlL/MFR4p9ittTTz1VALTAcFsrgape/PH5GD+O9TVCoPm1MRQndNttt6Xvf//7LUW/733vy3til3+QjOHxIx0ArVqFPU4g3sP7G6Ze9VnQrrwWFBsIECBAYKYFxs/0nnYkQIAAAQKjRCBWBN9ss83ywGYEQeML33XXXZc+97nP5auFl0+jmB+0vH2gj2M4etUiGrGQUX/p9ttvr8yy7LLL9myvWtAjgm39lV+16FBPoR24UzXlQASQjj322JbgZxxuVlak70B1h6yICEJXrfbeX/tEhdrliZWDpfYCsbhL9MSM1/pb3/rWtPvuu7cshtZ+71Q592j0jIueZn/+859bdj3ooIMqg5/xI0TV/K8tBdhAYAQEqj6X4oe6CED2laoW6Okr/2Cfi9EX5R8M4330uOOOqxyNUYfPjubP5Obzbfce3l+eduU17+c+AQIECMyagADorPnZmwABAgRGoUB8sYqhq1/96lfz4e7lObVi5dlZTVULKkWvlfIw2vJxIk85xervsThKkdqt2BsLD7VLMaw/Vq4eylTlFsHaCEpVpcsvv7xqc1dsq2r/6IVc7hVaPtlYrbycll566dRuMaFy3rH6OAI70auqOYgSPb1j4aMiNT9XbIvbp556KpVXxy4Whrnrrruas/bcX2GFFXruN9+58sor856jzdvcJ1AXgXafHZdeemnbKv7pT3/Kpytpm6EDT1R9dsTCS1WjHeJwVe+THajGoIoIy8mTJ7fs09/nWow+ufbaa1v2629195YdbCBAgACBQQsIgA6azA4ECBAgUFeB6HkVw1JjBdmYT2zDDTdMsaJsX+lNb3pTS2+95rkCi32rgifRk7Rdqhp6G8Nqf/rTn7bbJV+d/qKLLmp5PoYBNqdVV121MqgY8502L5ZU7BN1P/jgg4uHQ3ZbNZdcVX2iAhFwatfTtr8g8ZCdQAcLrmr/6LXU7pzj0Pfff386//zzW2pRVVZLpmHY0G5xp2E4dL+HiB81tt5665Z822+/fWoXxIzMsfDIbrvtlg8Bbt455hyMFKvHV6V2C6DEjypVqb/Ad9U+Q7Gtr/esoTieMuslsNJKK1UGFY855pjU7vU9HJ8dVa+zdp8dsYBZ1VyhIT3Q11m7cx1Ma8U0J1tuuWXLLrFgWtUQ9yLjD3/4w8rP6fLnfJHfLQECBAh0TkAAtHOWSiJAgACBERb429/+ltZff/308Y9/PEUwMIKfBx54YB7kaFe1+DL1j3/8o9fTERQtp6pFHGJ4bByzKm266aapatjyJz7xiVTV2+XJJ59MEawpBxGjJ1oEaJpT9Fit+rIU57LFFlukCLQWKXq3ffjDH84Dw8W2obp97Wtf21J0zB0X8642p6hf1DOCT1Wpuf5Vz4+GbRtssEGaOnVqS1X32WefyuGmEZiK9i8vVDVx4sR8YamWgoZ4Q9X1/pvf/Kbl+hziagyq+Jirs9ybO4Kf0VMrVpeOeWiL9KMf/Sh96lOfyofNVwWlY8X3SO163pZ/yIig/Wc+85m2r7N//vOfxaGH7baqDaPnWSeCP8N2Eg7UUYH4oWC77bZrKTM+yzbffPPUfJ3Ge9LHPvaxdMkll7Tk7/SGqtdZBBGvuOKKXoeKz5P47Gi3yFjVZ0fV6yDKifm+ZzXFe0h54aJwi0XVyu/lcaw//OEPaf/992857HrrrVf5edGS0QYCBAgQmCUBiyDNEp+dCRAgQKBOAjH338orr5yuv/76nmrF8L3VV189nxMwApsxHDuCFfHlKuYBjd6i5d4nO+20U8/+xZ2qL2jx3MYbb5wHXGMoXCwydMABB+S7xJeimPtynXXW6TXsPb54rbLKKmnXXXfN6xWZY27OWDyoaoh69ChbaKGF8jKb//nsZz+bIohTrnsMv1tsscVSDNGNL3633HJLHmiMXq1x3PAYqhQrah9++OEtxcf8q9EjNxaGiIWSTjrppHzYcXwZX2211VoCpHHOMcditNPCCy/cUt5o2BDesRp4rDDe3CspeoHG9AsRWFhzzTXzxbLii3i0f3PwoTjHww47LMVQ0OFOVdd79NqNHxgigBJzXcbw1Fjgqi4p5tD7yle+kgcim+sUQ05PPvnk/K/YHq+/dil+vCh+YHjjG9+Yn2d5Xs9YsCV6qL3rXe9Kjz76aDrjjDPyhZeizBjKWg7cxPGjt1iYxUI0MU/wUKeqHyTiPN797nfnAeF4j4rrtC+Loa6j8odfIAL18R5c/gEqfuBYfPHFU0y5Ej8kxHt1kSdGHQz1Z0eVRAQ7P/nJT6aYSqX47IgfC+OzLXppX3311b12+9rXvpYOPfTQ/LOjeN+sei+Lnd7znvek+EEyXo/x2fuFL3yhV1kDeRCfs3vvvXc64ogjemWPoHH0tv3oRz+a/8gSQdGY3ua0005r+REpFniKH2wlAgQIEBh6AQHQoTd2BAIECBAYRoETTjghxfyLzau8R4ApFkUZSIpgafQgLaf4shVBi+ILYfH8Pffck68SHY/ji1YRAI3HERyJLzZRXvMQ+vgy9M1vfjOy9JmizlV1iZ1iwZcoI74cllMEp8oLHkVPlViddii/xEbgKBb/Kc+nGMHmqmGU8UU1grvlHqIROIy/+CIeX3pHa4qAcCziEcHO5vaP4dPlL8xV5xg9dz/96U9XPTXk2+LarQpmxzym8RcpfiioUwA06hS9QKPnVRFAj22DSRH4jGBlMQ1GBOn32GOP9OUvf7mlmAhmxF9ziqDHueeemwf7m3+ciF7fRc/yWFTpLW95S/NuQ3J/7bXXriw33gOK94HoeSYAWsnUtRuXWGKJ/P0nrutyis+O8oJH8eNVfJ4W10x5n048julqYq7jO+64o1dxEbA/5JBDem2LB/H6jh/6ygHQ448/PsVf/BhSLOwUP7JFkLHca/S+++7r+bFk/vnnn6kAaNQlgq6xeOHFF18cD3tSHL+/9+9YJDB6oFsAqYfNHQIECAypwPghLV3hBAgQIEBgmAWil2MsBlTV+6m/qsQQwFgMIr6UlFP0HO3vy0x5n3gcXzIjILLgggtWPV25Lb6sHXnkkXkQsDLDfzfGF9MIpJWH/TbvE7289ttvv/SNb3yjV0/E5jyduh/1iIDQpEmT+i0yeiF9/vOfTzG/5WBs+i24ZhliKPUFF1wwqOsxAu3RXs1Dtof7tKJnc/wYMBpT/AgRvbvj9RwBzP5SXLfFfMFnnXVWimkHmlNMoxG9y/tLK664Yv7es8ACC+RDYPvLP9TPR5A1el9LBMoC8ePat7/97crPuiJvfHbED2fxWTTU8zLH6zTm9Zx33nmLw7e9jWlEIgC61VZbtZ2ionnn+DyKz8ChSvH+EXM3x2da1XD7dsddcsklU/S6jZ6oEgECBAgMj0D//yscnno4CgECBAiMMoH4UtG8MnlUv92Kre1OLQJ95TKqgo+xfwQgy3nLgYriODHsOHpkRO+7CGhEj5Z2X+CizhH8iF560eutr/TFL34x/8L4rW99q2UevQhatQsYvfe9782HnUZ9Tj311HxYetVxomdO9ECLwGYxfK8qX/O2+DIYPS9jSO5VV12VD+WLL2ExZDB6IEYvvaJ3SZVB0dOtucy4X7aObX0FWuP5SDGsO1bejmBxzMFaPmYM/46enxtttFGeP6YOiOGCEShs7nkUbdvcS24w7R8FV+Xva9hxDIMsL7rR7lrMKz6If6J9omdT0f433XRT5d7RoykCwtGrd5FFFqnM07yx6vUzkABCcxnt7kfwI3o07bnnnuknP/lJS/A8ro/mldAjgFF1zbS7vuJaKufvK3A+YcKElvzRZu1S/BASQYmYA/eaa67Je4PF9BNf//rX813itRxTMkRP6rjOYq7ddimum5haIqYjiGktYghuc4pezPFDR0xLUVxjRx11VD49RQyNL+b1DYuYF7iod1xfZYP+3kMH6xwLssR7xCmnnNIyXUa8RmLKkCJFm5frE88NJqhTlDUzt+FTdfyqIHY4l/NWrchd1CPeT8r54/zbparPt6prpOo67strsG0+0POMY5bPL84t2rRdiuHf8UNHfHbElA0xDDzKifeeCPjHZ0dMARGp/D4e26pe24NpwyijOcVnQ/HZET9ilo8Zr+lDst6g8X4aKdoj3qPis6N52pvyZ0fkjYBptFW8/mMERnOK95Zi0bNie9XrsK/Pg7hG40erXXbZJcVr/7zzzkuPPPJIUVzPbfhGj9Sw3XnnnVMcu69U9TnW7v89RTnhUr4W+npvLfZzS4AAgbEgMC4bktUYCyfqHAkQIEBg7ArE0LcYlh1fSOJ+fEmLLxaLLrpo/lf1Ra4vrRhiG0OzIxASX2Bi6Pvi2dxpVV/Uq8qJIeEREIsh6fExHAGR6A3Sbq6yqjJmZlv0Brvwwgt77RqBygjoDkWK84s5SCMIFV/AIvjT15yeMT9mDHmMvJGvry/vQ1Hf4SozXP7+97/3av+YOqAvm+GqW9Vxok1isa+Y/iHaJgIkETwcbSkCKkVwKob0FsHKwZxHBDPjmo7FVuL6jB8aIkjU7lqN48TcrvF8vL4jaD0SKRY+inpHkD/qEO0XdR/se99I1N0xR14geluWF/6KH+qOPvroIalcvOfE9RqfsXG9xmdHXz8Kxjy88b4a70/xOite5+XKxbQU8dkd5cdnd4wUiR8eB/rZXS6vr8f3ZNPjxF9MeRLB1xjpED9GRh0lAgQIEBgZAQHQkXF3VAIECBAgMOwCEaSNleKbUywCVTUXXHMe9wl0g0AnAqDd4OAcCAxWIObnjHlsm1P0dKyag7o5j/sECBAgQKBOAobA16k11IUAAQIECAxQ4Gc/+1m+eFAs5FD8xRD8GK5clWIYcDn4Gfne/va3V2W3jUDXCURvx2Koa7sem1130k6IQEkgRgHE4kHF50bcxjQQMWVEVYrFj8rBz8jns6NKyzYCBAgQqLOAAGidW0fdCBAgQIBAG4GY8yzmHGtOMdQ25h6LOUebUwy5r1rpORZtmTp1anNW9wl0rUAEQOOHAGnmBGLRnO9973szt3Mfe8V8iPvvv38fOTzVSYEbb7yxZy7cotwHHnggnXPOOfkcxMW2uI2h4h/96EebN+X3l19++RRzckoECBAgQGA0CRgCP5paS10JECBAgMB/BWLBimWWWSafX6wZJYI8MdfnWmutlc9xFotBnXnmmSnm1yynWPF+gw02KG/2mAABAi0C0UOwPIdwS6aZ2LDeeuul7bbbbib2tMvMCMRc2DGkvbwYUHx2xAJDsYhgzI8b81THIl5Vi/lcdNFFaZNNNpmZw9uHAAECBAiMmIAA6IjROzABAgQIEJg1geixs/3227es0D2QUr/0pS+lAw44YCBZ5SFAgACBLhKIkQLbbLPNTH12xErsBx98cBdpOBUCBAgQGCsC48fKiTpPAgQIECDQbQLxBfaSSy7JV7If6LkttNBC6cc//rHg50DB5CNAgECXCcQ0Kb/4xS/S4tnCeANNsYr5j370I8HPgYLJR4AAAQK1E9ADtHZNokIECBAgQGBwAtOmTUvnnntuvojFddddly9uESteR4rFXqZMmZJWXXXVfHjj+973vjT33HMP7gByEyBAgEDXCcRnx09/+tNenx3Tp0/PzzM+OxZZZJF8rs8YGr/tttumSZMmdZ2BEyJAgACBsSMgADp22tqZEiBAgMAYEYjg57PPPpuf7TzzzJMHQcfIqTtNAgQIEJhJgebPjgh2zjbbbDNZkt0IECBAgED9BARA69cmakSAAAECBAgQIECAAAECBAgQIECAQIcEzAHaIUjFECBAgAABAgQIECBAgAABAgQIECBQPwEB0Pq1iRoRIECAAAECBAgQIECAAAECBAgQINAhAQHQDkEqhgABAgQIECBAgAABAgQIECBAgACB+gkIgNavTdSIAAECBAgQIECAAAECBAgQIECAAIEOCQiAdghSMQQIECBAgAABAgQIECBAgAABAgQI1E9AALR+baJGBAgQIECAAAECBAgQIECAAAECBAh0SEAAtEOQiiFAgAABAgQIECBAgAABAgQIECBAoH4CAqD1axM1IkCAAAECBAgQIECAAAECBAgQIECgQwICoB2CVAwBAgQIECBAgAABAgQIECBAgAABAvUTEACtX5uoEQECBAgQIECAAAECBAgQIECAAAECHRIQAO0QpGIIECBAgAABAgQIECBAgAABAgQIEKifgABo/dpEjQgQIECAAAECBAgQIECAAAECBAgQ6JCAAGiHIBVDgAABAgQIECBAgAABAgQIECBAgED9BARA69cmakSAAAECBAgQIECAAAECBAgQIECAQIcEBEA7BKkYAgQIECBAgAABAgQIECBAgAABAgTqJyAAWr82USMCBAgQIECAAAECBAgQIECAAAECBDokIADaIUjFECBAgAABAgQIECBAgAABAgQIECBQPwEB0Pq1iRoRIECAAAECBAgQIECAAAECBAgQINAhAQHQDkEqhgABAgQIECBAgAABAgQIECBAgACB+gkIgNavTdSIAAECBAgQIECAAAECBAgQIECAAIEOCQiAdghSMQQIECBAgAABAgQIECBAgAABAgQI1E9AALR+baJGBAgQIECAAAECBAgQIECAAAECBAh0SEAAtEOQiiFAgAABAgQIECBAgAABAgQIECBAoH4CAqD1axM1IkCAAAECBAgQIECAAAECBAgQIECgQwICoB2CVAwBAgQIECBAgAABAgQIECBAgAABAvUTEACtX5uoEQECBAgQIECAAAECBAgQIECAAAECHRIQAO0QpGIIECBAgAABAgQIECBAgAABAgQIEKifgABo/dpEjQgQIECAAAECBAgQIECAAAECBAgQ6JCAAGiHIBVDgAABAgQIECBAgAABAgQIECBAgED9BARA69cmakSAAAECBAgQIECAAAECBAgQIECAQIcEBEA7BKkYAgQIECBAgAABAgQIECBAgAABAgTqJyAAWr82USMCBAgQIECAAAECBAgQIECAAAECBDokIADaIUjFECBAgAABAgQIECBAgAABAgQIECBQPwEB0Pq1iRoRIECAAAECBAgQIECAAAECBAgQINAhAQHQDkEqhgABAgQIECBAgAABAgQIECBAgACB+gkIgNavTdSIAAECBAgQIECAAAECBAgQIECAAIEOCQiAdghSMQQIECBAgAABAgQIECBAgAABAgQI1E9AALR+baJGBAgQIECAAAECBAgQIECAAAECBAh0SEAAtEOQiiFAgAABAgQIECBAgAABAgQIECBAoH4CAqD1axM1IkCAAAECBAgQIECAAAECBAgQIECgQwICoB2CVAwBAgQIECBAgAABAgQIECBAgAABAvUTEACtX5uoEQECBAgQIECAAAECBAgQIECAAAECHRIQAO0QpGIIECBAgAABAgQIECBAgAABAgQIEKifgABo/dpEjQgQIECAAAECBAgQIECAAAECBAgQ6JCAAGiHIBVDgAABAgQIECBAgAABAgQIECBAgED9BARA69cmakSAAAECBAgQIECAAAECBAgQIECAQIcEBEA7BKkYAgQIECBAgAABAgQIECBAgAABAgTqJyAAWr82USMCBAgQIECAAAECBAgQIECAAAECBDokIADaIUjFECBAgAABAgQIECBAgAABAgQIECBQPwEB0Pq1iRoRIECAAAECBAgQIECAAAECBAgQINAhAQHQDkEqhgABAgQIECBAgAABAgQIECBAgACB+gkIgNavTdSIAAECBAgQIECAAAECBAgQIECAAIEOCQiAdghSMQQIECBAgAABAgQIECBAgAABAgQI1E9AALR+baJGBAgQIECAAAECBAgQIECAAAECBAh0SEAAtEOQiiFAgAABAgQIECBAgAABAgQIECBAoH4CAqD1axM1IkCAAAECBAgQIECAAAECBAgQIECgQwICoB2CVAwBAgQIECBAgAABAgQIECBAgAABAvUTEACtX5uoEQECBAgQIECAAAECBAgQIECAAAECHRIQAO0QpGIIECBAgAABAgQIECBAgAABAgQIEKifgABo/dpEjQgQIECAAAECBAgQIECAAAECBAgQ6JCAAGiHIBVDgAABAgQIECBAgAABAgQIECBAgED9BARA69cmakSAAAECBAgQIECAAAECBAgQIECAQIcEBEA7BKkYAgQIECBAgAABAgQIECBAgAABAgTqJyAAWr82USMCBAgQIECAAAECBAgQIECAAAECBDokIADaIUjFECBAgAABAgQIECBAgAABAgQIECBQPwEB0Pq1iRoRIECAAAECBAgQIECAAAECBAgQINAhAQHQDkEqhgABAgQIECBAgAABAgQIECBAgACB+gkIgNavTdSIAAECBAgQIECAAAECBAgQIECAAIEOCQiAdghSMQQIECBAgAABAgQIECBAgAABAgQI1E9AALR+baJGBAgQIECAAAECBAgQIECAAAECBAh0SEAAtEOQiiFAgAABAgQIECBAgAABAgQIECBAoH4CAqD1axM1IkCAAAECBAgQIECAAAECBAgQIECgQwICoB2CVAwBAgQIECBAgAABAgQIECBAgAABAvUTEACtX5uoEQECBAgQIECAAAECBAgQIECAAAECHRIQAO0QpGIIECBAgAABAgQIECBAgAABAgQIEKifgABo/dpEjQgQIECAAAECBAgQIECAAAECBAgQ6JDA7B0qRzEEukrg8ccfT6+88kpXndOsnMxss82W5p9//lkpwr4ECBAgQIAAAQIECBAgQIAAgREREAAdEXYHrbPA0Ucfnfbee+86V3FE6nbwwQenQw45ZESO7aAECBAgQIAAAQIECBAgQIAAgZkVEACdWTn7da3Arbfemp/buDkmpXGzT+za8xzoiTWmv5Qa055JhctA95OPAAECBAgQIECAAAECBAgQIFAHAQHQOrSCOtRS4FXvOCRNWuGDtazbcFbqhTsuSE/8/KPDeUjHIkCAAAECBAgQIECAAAECBAh0TMAiSB2jVBABAgQIECBAgAABAgQIECBAgAABAnUTEACtW4uoDwECBAgQIECAAAECBAgQIECAAAECHRMQAO0YpYIIECBAgAABAgQIECBAgAABAgQIEKibgABo3VpEfQgQIECAAAECBAgQIECAAAECBAgQ6JiAAGjHKBVEgAABAgQIECBAgAABAgQIECBAgEDdBARA69Yi6kOAAAECBAgQIECAAAECBAgQIECAQMcEBEA7RqkgAgQIECBAgAABAgQIECBAgAABAgTqJiAAWrcWUR8CBAgQIECAAAECBAgQIECAAAECBDomIADOt0y8AABAAElEQVTaMUoFESBAgAABAgQIECBAgAABAgQIECBQNwEB0Lq1iPoQIECAAAECBAgQIECAAAECBAgQINAxAQHQjlEqiAABAgQIECBAgAABAgQIECBAgACBugkIgNatRdSHAAECBAgQIECAAAECBAgQIECAAIGOCQiAdoxSQQQIECBAgAABAgQIECBAgAABAgQI1E1AALRuLaI+BAgQIECAAAECBAgQIECAAAECBAh0TEAAtGOUCiJAgAABAgQIECBAgAABAgQIECBAoG4CAqB1axH1IUCAAAECBAgQIECAAAECBAgQIECgYwICoB2jVBABAgQIECBAgAABAgQIECBAgAABAnUTEACtW4uoDwECBAgQIECAAAECBAgQIECAAAECHRMQAO0YpYIIECBAgAABAgQIECBAgAABAgQIEKibgABo3VpEfQgQIECAAAECBAgQIECAAAECBAgQ6JiAAGjHKBVEgAABAgQIECBAgAABAgQIECBAgEDdBARA69Yi6kOAAAECBAgQIECAAAECBAgQIECAQMcEBEA7RqkgAgQIECBAgAABAgQIECBAgAABAgTqJiAAWrcWUR8CBAgQIECAAAECBAgQIECAAAECBDomIADaMUoFESBAgAABAgQIECBAgAABAgQIECBQNwEB0Lq1iPoQIECAAAECBAgQIECAAAECBAgQINAxAQHQjlEqiAABAgQIECBAgAABAgQIECBAgACBugkIgNatRdSHAAECBAgQIECAAAECBAgQIECAAIGOCQiAdoxSQQQIECBAgAABAgQIECBAgAABAgQI1E1AALRuLaI+BAgQIECAAAECBAgQIECAAAECBAh0TEAAtGOUCiJAgAABAgQIECBAgAABAgQIECBAoG4CAqB1axH1IUCAAAECBAgQIECAAAECBAgQIECgYwICoB2jVBABAgQIECBAgAABAgQIECBAgAABAnUTEACtW4uoDwECBAgQIECAAAECBAgQIECAAAECHRMQAO0YpYIIECBAgAABAgQIECBAgAABAgQIEKibgABo3VpEfQgQIECAAAECBAgQIECAAAECBAgQ6JiAAGjHKBVEgAABAgQIECBAgAABAgQIECBAgEDdBARA69Yi6kOAAAECBAgQIECAAAECBAgQIECAQMcEZu9YSQrqmMDjjz+eLr/88nTHHXekadOmpQUXXDCtvPLKaY011kizzTZbx46jIAIECBAgQIAAAQIECBAgQIAAAQLdLiAAOgwtfPvtt6dHH300TZ48Oa2wwgptj/j888+nz3/+8+m4445LL730Uku+KVOmpEMPPTR96EMfannOBgIECBAgQIAAAQIECBAgQIAAAQIEWgUMgW816fiWgw8+OL397W9Pe++9d9uyn3322bT22muno48+ujL4GTvef//9aZdddkm77rpr23I8QYAAAQIECBAgQIAAAQIECBAgQIDA/wT0AP2fxZDdazQa/Za91157peuuuy7PN378+LTRRhultdZaK80zzzzpX//6V7rssst6nj/++OPzIfG77bZbv+XKQIAAAQIECBAgQIAAAQIECBAgQGAsCwiADkPrjxs3rs+j3H333emUU07J8yywwALpggsuSGuuuWavfQ477LB8+w477JCit+hBBx2UD4WfMGFCr3weECBAgAABAgQIECBAgAABAgQIECDwPwFD4P9nMWL3zj///DRjxoz8+BEILQc/i4ptttlm6YQTTsgf/vvf/06XXnpp8ZRbAgQIECBAgAABAgQIECBAgAABAgQqBARAK1CGe9NNN92UH3KZZZZJG2+8cZ+H33bbbdNiiy2W57nmmmv6zOtJAgQIECBAgAABAgQIECBAgAABAmNdQAC0BlfAk08+mddilVVW6bc2MZx+1VVXzfM98MAD/eaXgQABAgQIECBAgAABAgQIECBAgMBYFhAArUHrT5o0Ka/FQOfznHvuufP806ZNq0HtVYEAAQIECBAgQIAAAQIECBAgQIBAfQUEQGvQNsstt1xei3vuuWdAtXnwwQfzfPPOO++A8stEgAABAgQIECBAgAABAgQIECBAYKwKCIDWoOW32GKLvBa///3vUyxu1Fd67LHHUuSLtPTSS/eV1XMECBAgQIAAAQIECBAgQIAAAQIExryAAOgwXgKPP/54uuqqq9LNN9+c7r///vTMM8+kRqORVlhhhfSe97wnxZD2Aw44oG2Npk+fnvbYY4/0wgsv5HnWW2+9tnk9QYAAAQIECBAgQIAAAQIECBAgQIBASrNDGD6B66+/Pr3jHe/odcDx48enyZMnp7iNdMIJJ6RPfepTqRgWX2S+6KKL0pe//OV07bXX5ptWX331NJBFk4r93RIgQIAAAQIECBAgQIAAAQIECBAYiwICoCPc6jNmzEhPPPFEr1q8+OKLvR7Hgy984QvphhtuyLfHoknf//73W/LYQIAAAQIECBAgQIAAAQIECBAgQIBAbwEB0N4eQ/Jov/32y4e4P/XUU+nJJ5/s9Ve1raoSU6ZMyQOgiy++eDrjjDPSiiuuWJXNNgIECBAgQIAAAQIECBAgQIAAAQIEmgQEQJswhuruW97ylhR/s5K23XbbtN1226WtttoqTZgwYVaKsi8BAgQIECBAgAABAgQIECBAgACBMSMgADpKmnqHHXYYJTVVTQIECBAgQIAAAQIECBAgQIAAAQL1EbAKfH3aQk0IECBAgAABAgQIECBAgAABAgQIEOiwgABoh0EVR4AAAQIECBAgQIAAAQIECBAgQIBAfQQMga9PW/Rbk1gx/h//+EdPvte+9rVpnnnm6XnsDgECBAgQIECAAAECBAgQIECAAAECvQUEQHt71PrRM888k5ZaaqmeOp566qlpxx137Hk8VHd+85vfpNNPPz01Go1ZPkSsen/nnXem0047La2wwgqzXJ4CCBAgQIAAAQIECBAgQIAAAQIECPQlIADal47ncoGjjjoqXXDBBR3V+PrXv54igCsRIECAAAECBAgQIECAAAECBAgQGEoBAdCh1O1w2ePHj08x7L1IEydOLO4O6e0xxxyT3vve96YYgj+r6YwzzkiXX355WmmllWa1KPsTIECAAAECBAgQIECAAAECBAgQ6FdAALRfovpkmHfeedNDDz007BWaMmVK2nnnnTty3JtuuikPgM4222wdKU8hBAgQIECAAAECBAgQIECAAAECBPoSsAp8XzqeI0CAAAECBAgQIECAAAECBAgQIEBgVAsIgI7q5lN5AgQIECBAgAABAgQIECBAgAABAgT6EhAA7UvHcwQIECBAgAABAgQIECBAgAABAgQIjGoBc4COQPM1Go107bXXpl//+tfpr3/9a7rnnnvSo48+mp5//vk0ffr0NOecc6bJkyen17/+9Wm55ZZLa665Ztpwww3T/PPPPwK1dUgCBAgQIECAAAECBAgQIECAAAECo1dAAHQY2+6VV15Jxx57bDr88MPTvffe2+eRH3zwwfS3v/0t/epXv0rf/e530+yzz5623HLLdMghh6Q3vvGNfe7rSQIECBAgQIAAAQIECBAgQIAAAQIE/iNgCPwwXQnRw/Md73hH2muvvSqDnxHgjFXeo+fn3HPP3VKrCJ6effbZaaWVVkrHH398y/M2ECBAgAABAgQIECBAgAABAgQIECDQKqAHaKtJx7fEsPbNNtssH/YehUegc5tttknrrrtumjp1alp00UXzbc0HjoDnQw89lG6//fZ0zTXXpHPPPTfdcMMNadq0aWnXXXfN82+//fbNu7hPgAABAgQIECBAgAABAgQIECBAgEBJQAC0BDIUD88888w8iBllb7HFFunEE0/sdz7P6BG6yCKL5H/rrLNOOvDAA9MFF1yQPvShD6XHH388feITn0ibb755ZW/RoTgHZRIgQIAAAQIECBAgQIAAAQIECBAYjQKGwA9Dq51xxhn5UVZYYYV0zjnn9Bv8bFel6EV63nnn5U8/9thjeUC0XV7bCRAgQIAAAQIECBAgQIAAAQIECBBISQB0GK6CP//5z/lRdtlll3wxo1k55FprrZVWWWWVvIgYGi8RIECAAAECBAgQIECAAAECBAgQINBeQAC0vU3HnonempGWXHLJjpS53HLL5eXEHKESAQIECBAgQIAAAQIECBAgQIAAAQLtBQRA29t07Jm55porL+upp57qSJnPPPNMXs6ECRM6Up5CCBAgQIAAAQIECBAgQIAAAQIECHSrgADoMLTs0ksvnR/l8ssvn+WjPf/88+nKK6/My1l22WVnuTwFECBAgAABAgQIECBAgAABAgQIEOhmAQHQYWjd9dZbLz/K6aefni677LKZPuKMGTPSnnvumZ544om8jE022WSmy7IjAQIECBAgQIAAAQIECBAgQIAAgbEgIAA6DK28++67p4kTJ6bp06enCFrus88+6e9///uAjzxt2rR04YUXpre+9a3p5JNPzvfbeOON00orrTTgMmQkQIAAAQIECBAgQIAAAQIECBAgMBYFZh+LJz3c57zYYoul448/Pu20007plVdeSUcddVT+N2XKlDR16tS06KKLpvnnnz8Pko4fPz69/PLL6dlnn00PP/xwuvPOO9P111+fYuh7kWLo+0knnVQ8dEuAAAECBAgQIECAAAECBAgQIECAQBsBAdA2MJ3evOOOO6aFFloo7brrrumee+7Ji7///vtT/A00jRs3Lr3//e9P3/nOd9JrXvOage4mHwECBAgQIECAAAECBAgQIECAAIExK2AI/DA2/frrr59uv/32FHOBbrbZZulVr3rVgI4ePT4//elPp5tvvjmddtppgp8DUpOJAAECBAgQIECAAAECBAgQIECAQEp6gA7zVTDnnHPmvTijJ2ej0Uj33ntv/vfYY4+l5557LsVCR3PMMUceHF144YXTUkstlSZPnjzMtXQ4AgQIECBAgAABAgQIECBAgAABAt0hIAA6gu0YQ9oXX3zx/G8Eq+HQBAgQIECAAAECBAgQIECAAAECBLpWwBD4rm1aJ0aAAAECBAgQIECAAAECBAgQIECAgACoa4AAAQIECBAgQIAAAQIECBAgQIAAga4VEADt2qZ1YgQIECBAgAABAgQIECBAgAABAgQICIC6BggQIECAAAECBAgQIECAAAECBAgQ6FoBAdCubVonRoAAAQIECBAgQIAAAQIECBAgQICAAKhrgAABAgQIECBAgAABAgQIECBAgACBrhUQAO3apnViBAgQIECAAAECBAgQIECAAAECBAgIgLoGCBAgQIAAAQIECBAgQIAAAQIECBDoWgEB0K5tWidGgAABAgQIECBAgAABAgQIECBAgIAAqGuAAAECBAgQIECAAAECBAgQIECAAIGuFRAA7dqmdWIECBAgQIAAAQIECBAgQIAAAQIECAiAugYIECBAgAABAgQIECBAgAABAgQIEOhaAQHQrm1aJ0aAAAECBAgQIECAAAECBAgQIECAgACoa4AAAQIECBAgQIAAAQIECBAgQIAAga4VEADt2qZ1YgQIECBAgAABAgQIECBAgAABAgQICIC6BggQIECAAAECBAgQIECAAAECBAgQ6FoBAdCubVonRoAAAQIECBAgQIAAAQIECBAgQIDA7AgIECBAgMCsCLz88svp3nvvTY1GY1aK6ap9J06cmBZZZJGuOicnQ4AAAQIECBAgQIAAgdEqIAA6WltOvQkQIFATgR122CGdc845NalNfapx9tlnp2222aY+FVITAgQIECBAgAABAgQIjFEBAdAx2vBOmwABAp0SuPvuu/Oixs/z+jRutgmdKnbUljPjxcdT46WnUuEyak9ExQkQIECAAAECBAgQINAlAgKgXdKQToMAAQIjLTDfpienORdacaSrMeLHf/rqw9Kzfz5mxOuhAgQIECBAgAABAgQIECDwHwGLILkSCBAgQIAAAQIECBAgQIAAAQIECBDoWgEB0K5tWidGgAABAgQIECBAgAABAgQIECBAgIAAqGuAAAECBAgQIECAAAECBAgQIECAAIGuFRAA7dqmdWIECBAgQIAAAQIECBAgQIAAAQIECAiAugYIECBAgAABAgQIECBAgAABAgQIEOhaAQHQrm1aJ0aAAAECBAgQIECAAAECBAgQIECAgACoa4AAAQIECBAgQIAAAQIECBAgQIAAga4VEADt2qZ1YgQIECBAgAABAgQIECBAgAABAgQICIC6BggQIECAAAECBAgQIECAAAECBAgQ6FoBAdCubVonRoAAAQIECBAgQIAAAQIECBAgQICAAKhrgAABAgQIECBAgAABAgQIECBAgACBrhUQAO3apnViBAgQIECAAAECBAgQIECAAAECBAgIgLoGCBAgQIAAAQIECBAgQIAAAQIECBDoWgEB0K5tWidGgAABAgQIECBAgAABAgQIECBAgIAAqGuAAAECBAgQIECAAAECBAgQIECAAIGuFRAA7dqmdWIECBAgQIAAAQIECBAgQIAAAQIECAiAugYIECBAgAABAgQIECBAgAABAgQIEOhagdm79sycGAECBAgQGAGBGdOezY960UUXpYcffngEalC/Q44fPz5tv/32aZVVVqlf5dSIAAECBAgQIECAAIGuFxAA7fomdoIECBAgMJwCL//75vxwV111VYo/6T8Ct956a7rkkktwECBAgAABAgQIECBAYNgFBECHndwBCRAgQKCrBRoz8tObsPi6acKUd3T1qQ7k5F554u70/M2npJdffnkg2eUhQIAAAQIECBAgQIBAxwUEQDtOqkACBAgQIJDSnK9fI82z8m5jnuKl+36XB0DHPAQAAgQIECBAgAABAgRGTMAiSCNG78AECBAgQIAAAQIECBAgQIAAAQIECAy1gADoUAsrnwABAgQIECBAgAABAgQIECBAgACBERMQAB0xegcmQIAAAQIECBAgQIAAAQIECBAgQGCoBQRAh1pY+QQIECBAgAABAgQIECBAgAABAgQIjJiAAOiI0TswAQIECBAgQIAAAQIECBAgQIAAAQJDLSAAOtTCyidAgAABAgQIECBAgAABAgQIECBAYMQEBEBHjN6BCRAgQIAAAQIECBAgQIAAAQIECBAYagEB0KEWVj4BAgQIECBAgAABAgQIECBAgAABAiMmIAA6YvQOTIAAAQIECBAgQIAAAQIECBAgQIDAUAsIgA61sPIJECBAgAABAgQIECBAgAABAgQIEBgxAQHQEaN3YAIECBAgQIAAAQIECBAgQIAAAQIEhlpAAHSohZVPgAABAgQIECBAgAABAgQIECBAgMCICQiAjhi9AxMgQIAAAQIECBAgQIAAAQIECBAgMNQCAqBDLax8AgQIECBAgAABAgQIECBAgAABAgRGTEAAdMToB3bgDTbYIC211FLppz/96cB2kIsAAQIECBAgQIAAAQIECBAgQIAAgR4BAdAeinreue+++9Jdd92Vnn766XpWUK0IECBAgAABAgQIECBAgAABAgQI1FhAALTGjaNqBAgQIECAAAECBAgQIECAAAECBAjMmsDss7a7vQcicMghh6TLL798IFlb8tx77735tq985SvpxBNP7PX8QQcdlNZff/1e2zwgQIAAAQIECBAgQIAAAQIECBAgQOB/AgKg/7MYsnu33357uvrqq2ep/DvuuCPFX3N65JFHmh+6T4AAAQIECBAgQIAAAQIECBAgQIBASUAAtAQyFA8bjUZPsXPPPXeab775eh73d+ehhx5Kr7zySnrNa16TJk2a1Ct7lCURGC6BGTNmpGnTpg3X4Wp/nDnnnLP2dVRBAgQIECBAgAABAgQIECBAICUB0GG4Cj784Q+nK664Iv3rX//KA0hbbLFFOvTQQwcUCF1uueVS9CA94ogj0s477zwMtXUIAr0Fpj/zz3zDueeemyZMmND7yTH8KKaf+MUvfjGGBZw6AQIECBAgQIAAAQIECBAYHQIWQRqGdlpvvfXSzTffnLbbbru8N+cxxxyTll9++XThhRf2e/Rx48b1m0cGAkMpMP3Zf/23+OxaHD+HvzDI0h//+Mf/urghQIAAAQIECBAgQIAAAQIE6iygB+gwtU4Mez/jjDPSVlttlXbfffcUQ9s322yzvFfnUUcdlSZPnjxMNXEYAjMnMNdSm6b5Nu69ENfMlTS695rx4pPpoeOXHd0nofYECBAgQIAAAQIECBAgQGAMCegBOsyNvfXWW6dbbrklxTD4SCeffHJ685vfPNOrxA9z9R2OAAECBAgQIECAAAECBAgQIECAwKgSEAAdgeZaaKGF0nnnnZdOOeWU9OpXvzrdf//9KeYT3HPPPdNzzz03AjVySAIECBAgQIAAAQIECBAgQIAAAQLdKSAAOoLt+sEPfjCfG3SDDTZIsVL89773vbTiiiumq666agRr5dAECBAgQIAAAQIECBAgQIAAAQIEukdAAHSE2/INb3hDuvTSS9Nxxx2X5plnnnTXXXeld77znWnfffdNL730Uh4YHeEqOjwBAgQIECBAgAABAgQIECBAgACBUSsgAFqTptt1113TjTfemNZaa600Y8aMdPjhh6c11lgjPfnkkzWpoWoQIECAAAECBAgQIECAAAECBAgQGH0CAqA1arMlllgi/fa3v01HHnlkmjhxYrrhhhvSww8/XKMaqgoBAgQIECBAgAABAgQIECBAgACB0SUgAFqz9ho3blzae++90/XXX59WX331mtVOdQgQIECAAAECBAgQIECAAAECBAiMLoHZR1d1x05tl1122XT11VenK6+8Mk2fPj296U1vGjsn70wJECBAgAABAgQIECBAgAABAgQIdEhAALRDkENRzGyzzZbe9a53DUXRyiRAYBYFXn755fSrX/1qFkvpjt2ffvrp7jgRZ0GAAAECBAgQIECAAAECXSkgANqVzeqkCBAYKoHG9Gl50c8++2xad911h+owyiVAgAABAgQIECBAgAABAgQ6JCAA2iHI4Sim0Wikxx57rOdQ8847b5owYULPY3cIEBh6gcYrL/znIONmS3O+Yc2hP+AoOMK0f/4+pcaMUVBTVSRAgAABAgQIECBAgACBsSggADqKWj2GmS644II9NT711FPTjjvu2PN4qO5cd9116eyzz04zZsx6gON3v/tdXs3nn39+qKqrXALDIjBuznnSAlueOyzHqvtB/vW9xVNPYLjulVU/AgQIECBAgAABAgQIEBhzAgKgY67JB3/Chx12WLrooosGv2Mfe9x00019POspAgQIECBAgAABAgQIECBAgAABAp0READtjOOwlDJu3Lg011xz9RwrFkkajnTEEUekddZZJ8UQ/FlN559/frriiivSyiuvPKtF2Z8AAQIECBAgQIAAAQIECBAgQIBAvwICoP0S1SfDq171qvTCC/+df3AYq7X00kunvffeuyNHvO+++/IA6JxzztmR8hRCgAABAgQIECBAgAABAgQIECBAoC+B8X096TkCBAgQIECAAAECBAgQIECAAAECBAiMZgEB0NHceupOgAABAgQIECBAgAABAgQIECBAgECfAgKgffJ4kgABAgQIECBAgAABAgQIECBAgACB0SxgDtARar1bb701/frXv0433nhjuueee9Kjjz6annvuuTRjxow0xxxzpMmTJ6fXv/71abnllktrrrlmeve7353mnnvuEaqtwxIgQIAAAQIECBAgQIAAAQIECBAYnQICoMPYbrGK+qmnnpq+9a1vpZtuumlQR540aVJ6//vfnw488MC06KKLDmpfmQkQIECAAAECBAgQIECAAAECBAiMVQFD4Iep5Z9++um0wQYbpJ122mnQwc+oYvQOPeGEE9Kb3vSmdOaZZw5TrR2GAAECBAgQIECAAAECBAgQIECAwOgW0AN0GNoven6+973vzYe8x+HmnHPOtOmmm6Z11103TZ06Ne/ROd9886WJEyem8ePHp5dffjlFwPShhx5Kt912W7rmmmvSeeedl+6+++48ELrDDjvkeTfffPNhqL1DECBAgAABAgQIECBAgAABAgQIEBi9AgKgw9B25557bk/wM4KeJ510UlpkkUXaHjnmAJ1//vnzv+WXXz5ttdVW6Zvf/GY67bTT0h577JGeffbZtNtuu+U9Sueaa6625XiCAAECBAgQIECAAAECBAgQIECAwFgXMAR+GK6A008/PT/KMsssky688MI+g5/tqjNu3Lj0gQ98IJ1zzjl5lugdevHFF7fLbjsBAgQIECBAgAABAgQIECBAgAABApmAAOgwXAZ//OMf86N85CMfSbPaY3PDDTdMK664Yl7eVVddNQy1dwgCBAgQIECAAAECBAgQIECAAAECo1dAAHQY2u6RRx7JjxI9QDuRVlhhhbyYBx98sBPFKYMAAQIECBAgQIAAAQIECBAgQIBA1woIgA5D006YMCE/Sszd2Yn0/PPP58XEYkoSAQIECBAgQIAAAQIECBAgQIAAAQLtBQRA29t07Jkll1wyL+u3v/3tLJf50ksvpWLo+1JLLTXL5SmAAAECBAgQIECAAAECBAgQIECAQDcLCIAOQ+uus846+VF+9KMfpauvvnqWjrjvvvumf//733kZG2200SyVZWcCBAgQIECAAAECBAgQIECAAAEC3S4gADoMLbzbbrulGK4+bdq0tO6666ZDDjkkxSruA02NRiNdccUVaf3110/HHHNMvtvaa6+dVltttYEWIR8BAgQIECBAgAABAgQIECBAgACBMSkw+5g862E+6aWXXjodffTRaffdd08vvvhiOvTQQ9MXv/jFFIsZTZ06NS266KJpvvnmS3PPPXcaP358evnll1PMF/rwww+nO++8M1133XU9vT6j6pE/epNKBAgQIECAAAECBAgQIECAAAECBAj0LSAA2rdPx56NXqALLLBA2nPPPVOsCh+9Om+66ab8bzAH2WSTTdIJJ5yQFl544cHsJi8BAgQIECBAgAABAgQIECBAgACBMSkgADqMzb711lunmLfzlFNOSWeddVa65ppr8t6e/VXhda97XYrA50c+8pG0xhpr9Jfd8wQIECBAgACBUSNw3nnnpeOOOy7NmDFj1NR5qCsaUyd95StfSSuuuOJQH6r25ccUUrvuumt64IEHal/X4axgjCI7/PDDh/OQjkWAAAECBEa1gADoMDffpEmT0h577JH/xXD42267Ld17773pscceS88//3yaPn16Pl/ovPPOm/fyXGaZZdKUKVOGuZYOR4AAAQIECBAYHoEIfl522WXDc7BRdJQIfgqApnTLLbekk08+eRS13PBU9fLLL08HHXRQmjx58vAc0FEIECBAgMAoFxAAHcEGnGuuudJKK62U/41gNRyaAAECBAgQIDBiAkXPz3nf9oU054JvHrF61OXAL/z9/PT8rT/WI/a/DVJcH7NNXiK9eu2v16WZRrQej1+8c2q8/LxrZERbwcEJECBAYLQJCICOthZTXwIECBAgQIBAFwpE8HPCou/swjMb3ClNe+TGwe0wRnKPnzCv66No6/FzFPfcEiBAgAABAgMUGD/AfLIRIECAAAECBAgQIECAAAECBAgQIEBg1AkIgI66JlNhAgQIECBAgAABAgQIECBAgAABAgQGKiAAOlAp+QgQIECAAAECBAgQIECAAAECBAgQGHUCAqCjrslUmAABAgQIECBAgAABAgQIECBAgACBgQoIgA5USj4CBAgQIECAAAECBAgQIECAAAECBEadgADoqGsyFSZAgAABAgQIECBAgAABAgQIECBAYKACAqADlZKPAAECBAgQIECAAAECBAgQIECAAIFRJyAAOuqaTIUJECBAgAABAgQIECBAgAABAgQIEBiogADoQKXkI0CAAAECBAgQIECAAAECBAgQIEBg1AkIgI66JlNhAgQIECBAgAABAgQIECBAgAABAgQGKiAAOlAp+QgQIECAAAECBAgQIECAAAECBAgQGHUCAqCjrslUmAABAgQIECBAgAABAgQIECBAgACBgQoIgA5USj4CBAgQIECAAAECBAgQIECAAAECBEadgADoqGsyFSZAgAABAgQIECBAgAABAgQIECBAYKACAqADlZKPAAECBAgQIECAAAECBAgQIECAAIFRJyAAOuqaTIUJECBAgAABAgQIECBAgAABAgQIEBiogADoQKXkI0CAAAECBAgQIECAAAECBAgQIEBg1AkIgI66JlNhAgQIECBAgAABAgQIECBAgAABAgQGKiAAOlAp+QgQIECAAAECBAgQIECAAAECBAgQGHUCAqCjrslUmAABAgQIECBAgAABAgQIECBAgACBgQoIgA5USj4CBAgQIECAAAECBAgQIECAAAECBEadgADoqGsyFSZAgAABAgQIECBAgAABAgQIECBAYKACAqADlZKPAAECBAgQIECAAAECBAgQIECAAIFRJyAAOuqaTIUJECBAgAABAgQIECBAgAABAgQIEBiogADoQKXkI0CAAAECBAgQIPD/2bsPMCuq+3/A392lSBEQiCAKNkSKgogFxYKxG4k91thL8NGosceY/GL3scQYY4loLNj+MbHHFhtYsCCKqKCgoCKCGKW3ZfefmWRXkAW23L3cvfed51l27syZU96zsvpxZg4BAgQIECBAgACBBicgAG1wU6bDBAgQIECAAAECBAgQIECAAAECBAhUV0AAWl0p5QgQIECAAAECBAgQIECAAAECBAgQaHACAtAGN2U6TIAAAQIECBAgQIAAAQIECBAgQIBAdQUEoNWVUo4AAQIECBAgQIAAAQIECBAgQIAAgQYnIABtcFOmwwQIECBAgAABAgQIECBAgAABAgQIVFdAAFpdKeUIECBAgAABAgQIECBAgAABAgQIEGhwAgLQBjdlOkyAAAECBAgQIECAAAECBAgQIECAQHUFBKDVlVKOAAECBAgQIECAAAECBAgQIECAAIEGJyAAbXBTpsMECBAgQIAAAQIECBAgQIAAAQIECFRXoFF1CypHgAABAgQIECBQd4F//vOf8dZbb9W9ojyp4ZNPPsmTkRgGAQIECBAgQIBArgoIQHN1ZvSLAAECBAgQyEuB/fffPxYsWJCXYzMoAgQIECBAgAABArkoIADNxVnRJwIECBAgQCBvBSrCz5ZbnZm3Y6zJwGaP/HPE4vk1uURZAgQIECBAgAABAjUSEIDWiEthAgQIECBAgEBmBFr1PyczFTXwWua8e1uUC0Ab+CzqPgECBAgQIEAgtwUsgpTb86N3BAgQIECAAAECBAgQIECAAAECBAjUQUAAWgc8lxIgQIAAAQIECBAgQIAAAQIECBAgkNsCHoHP7fnROwIECBAgQIAAgQISKFs4Kx3tk08+GdOnTy+gkVc9VAZVuzhKgAABAgQI1ExAAFozL6UJECBAgAABAgQI1JtA6dfvp3WPHj06ki8bAQIECBAgQIBA3QUyEoB+/PHHUVpaGj169Kh7j9RAgAABAgQIECBAoEAFysvL0pE3XffHsVrXvQtU4fthL5wyMuZ9cM/3B+wRIECAAAECBGohkJEAdOTIkXHooYfGNttsE8cee2wcfPDBsfrqq9eiOy4hQIAAAQIECBAgQKBx+57RotfhBQ9RVNJEAFrwPwUACBAgQIBA3QUyugjSa6+9FieccEKstdZaccwxx8Tw4cPr3kM1ECBAgAABAgQIECBAgAABAgQIECBAoJYCGQlAk0fft9122ygqKkq7MWfOnLjjjjtihx12iG7dusUVV1wRU6ZMqWUXXUaAAAECBAgQIECAAAECBAgQIECAAIHaCWQkAO3Tp0+88sorMXHixLjqqquiX79+lb1J3g96/vnnR+fOnWPQoEHx0EMPxaJFiyrP2yFAgAABAgQIECBAgAABAgQIECBAgEB9CWQkAK3oXJcuXeKss86Kt956K5Lg8+KLL45evXqlpxcvXhyPP/547L///rHOOuuk5T744IOKS30nQIAAAQIECBAgQIAAAQIECBAgQIBAxgUyGoAu2buuXbvGb37zmxgzZkz6lewnx5Jt2rRpcc0116ThaLJw0q233hqzZs1a8nL7BAgQIECAAAECBAgQIECAAAECBAgQqLNAvQWgS/YsuQs0uRs0uSv09ddfj5NPPjnat2+fFhkxYkSceOKJ6cJJyQJK77///pKX2idAgAABAgQIECBAgAABAgQIECBAgECtBbISgC7Zu6222ip+//vfx29/+9to27Zt5alk4aQhQ4bEpptuGgcddFB8+umnlefsECBAgAABAgQIECBAgAABAgQIECBAoDYCWQtAZ8+eHXfeeWfsueee6d2ev/zlL+Pf//532ucmTZrEgAEDonHjxlFeXh4PPvhg9O7dOx555JHajMk1BAgQIECAAAECBAgQIECAAAECBAgQSAXqPQAdPnx4HHPMMdGxY8c4+uij46mnnorS0tK08W7duqWrxn/xxRfx8ssvx6RJk+LUU0+NkpKSSALTAw88MJLrbQQIECBAgAABAgQIECBAgAABAgQIEKiNQKPaXLSyayZPnpze7fnXv/41xo8fv1Txpk2bpivBJ+/9HDhw4FLn1lprrbj++utj3333jUGDBsXcuXMjuVN01KhRS5XzgQABAgQIECBAgAABAgQIECBAgAABAtURyFgAunDhwvSR9dtvvz2eeeaZKCsrW6r97t27R7LI0VFHHRXt2rVb6twPP/z4xz+OK664Ig0/33nnnUjuEF1nnXV+WMxnAgQIECBAgAABAgQIECBAgAABAgQIrFAgIwFo8ph6ctdmxTs9K1pM7vZMHmNP7vbcYYcdKg5X6/uRRx6ZBqBJ4WnTphVkADpr1qx4/fXXY+bMmbHmmmvG5ptvHs2bN6+Wn0IECBAgQIAAAQIECBAgQIAAAQIECERkJABN7tBcMvzs0aNHGnomIeaSK73XBHz11VevLJ5Pod/TTz8djz32WEycODGSxZ8222yz9B2pnTt3rhzv4sWL48ILL4zrrrsu5s2bV3k8cTj22GPj0ksvjVatWlUet0OAAAECBAgQIECAAAECBAgQIECAQNUCGQlAk6pXW221OOigg9Lgc7vttqu6tRocTRZKuuWWW9Ir1l9//RpcmZtFZ8yYkd4N+69//WupDj700ENx5ZVXxl133RUHHHBAeu4Xv/hFDBkyZKlyyYfknag33HBDvPTSS+niUK1bt16mjAMECBAgQIAAAQIECBAgQIAAAQIECHwvkJEANAk8J0yYEO3bt0/vavy++pXvJQscJXdD9urVK5JV4Su25O7I5NH5fNkOPvjg+GH4WTG2JNg8/PDDo2fPnvHdd99Vhp/Ju1J33XXXaNmyZXz88cdp6Jm8W/W9996LM844I5L3rdoIECBAgAABAgQIECBAgAABAgQIEFi+QPHyT1X/zMsvvxxrr7125R2M1b8y4tFHH01XhU/ugszX7amnnork0fdka9OmTVx22WUxYsSIePvtt+Pmm2+Ojh07xoIFC+KSSy6J2267LS03YMCANPS877774tZbb40XX3wxkgWhKh6VT+4Y/fLLL9Oy/iBAgAABAgQIECBAgAABAgQIECBAoGqBjNwBWlRUVHXt1Tha8S7L5A7HfN2GDh2aDq1Zs2YxbNiw2HTTTSuH2rdv39h9992jX79+aRicBMnJ4lH3339/rLHGGpXlkp3kuiT43GmnnSJ5T+g///nPOP7445cq4wMBAgQIECBAgAABAgQIECBAgAABAt8LZOQO0PLy8u9rrMFe8l7M5B2YyTZnzpwaXNmwiiYruSfbz3/+86XCz4pRrLfeeukj7bNnz45x48bFXnvttdxV7wcOHBhdu3ZNL00ehbcRIECAAAECBAgQIECAAAECBAgQILB8gVrdAfr555/HFltsUVnr/Pnz0/1nnnkmOnToUHl8RTtJaJqsHJ/cyZhsyZ2P+bpVPKrev3//5Q5xjz32SFd+Twokd4OuaEveFTp+/PiYNm3aioo5R4AAAQIECBAgQIAAAQIECBAgQKDgBWoVgCahZVXh28KFC6s8vjLl5BH6k046aWXFGuz5RYsWpX1v0aLFcsfQpUuXynMrC5GTBaKSrSI8rrzQDgECBAgQIECAAAECBAgQIECAAAECSwnUKgBNHtmePHlyupBPsphPssDP6NGj03dXtm3bdqkGVvQheddl9+7d49RTT00f+15R2YZ8LjGZOnVqfPbZZ8sdRkWomRRo1GjF05LcgZtsrVu3Tr/7gwABAgQIECBAgAABAgQIECBAgACBqgVWnLRVfU16tFOnTunq7fvvv39svvnmceihh8auu+4ajz322AquKsxTffr0ieT1AA8++GCcddZZVSIkYfDpp5+enuvVq1eVZZKDyeP0I0eOTM9369ZtueWcIECAAAECBAgQIECAAAECBAgQIEAgIiOLIK2++uqx0UYbRRKK2pYV+OlPf5oeTBZDuuSSS5Yt8J8jyQrxf/jDH9KvLbfcssoypaWlMXjw4Ei+J9suu+xSZTkHCRAgQIAAAQIECBAgQIAAAQIECBD4r0BGAtCf/OQn8dFHH8Utt9zCtQqBo446qjIcvvDCC2PAgAHxpz/9qYqSVR/67rvv4h//+Ed63aOPPpoWSuro27dv1Rc4SoAAAQIECBAgQIAAAQIECBAgQIBAKpCRAJTligVatmwZ9957b6y22mppwVdffTUuu+yyFV+0xNlrr702DjjggHjjjTfSo82bN4+bbrppiRJ2CRAgQIAAAQIECBAgQIAAAQIECBCoSqBG7wB96KGH4p133knr+fWvf50uepR8GDNmTPztb3+rqv5qH9tmm21ijz32qHb5hlZwxx13jOHDh8eJJ54Yo0aNivbt21d7CEuuCp+8ZuD++++PTTfdtNrXK0iAAAECBAgQIECAAAECBAgQIECgUAVqFIA+8sgjceedd6ZWv/rVr5YKQC+66KI6GSYLAOVzAJrgbLHFFvH222/HW2+9FV988UW1vbp27RqDBg2K5FUDhx9+eCR3lNoIECBAgAABAgQIECBAgAABAgQIEFi5QI0C0JVXp0R1BJIgNPmq7rb77rtH8mUjQIAAAQIECBAgQIAAAQIECBAgQKBmAjUKQE877bTYf//90xZatGhR2dL2228fyd2hddk22GCDulzuWgIECBAgQIAAAQIECBAgQIAAAQIECCwjUKMANFl1vKqVx9dee+1IvmwECBAgQIAAAQIECBAgQIAAAQIECBDIJYEaBaC51PFC7UtpaWnl0EtKSqKoqKjysx0CBAgQIECAAAECBAgQIECAAAECBJYWqJcAdNGiRdG4ceOlW/rfp2QV+eSrSZMm0b9///Doe5VMVR6cMWNGtGnTpvLc3XffHUcccUTl5/raee+99+Lhhx+O8vLyOjcxYsSItI4FCxbUuS4VECBAgAABAgQIECBQ2AIzZ86MF198MRYvXlzYEEuMvlGjRrHzzjtH8+bNlzhqlwABAoUtkNEAdNiwYXHOOedEnz594pZbbllK9ttvv41DDjkknnnmmcrjyd2LRx55ZFq2adOmlcft5JbA+eefH0888URGO5WE4DYCBAgQIECAAAECBAjUReDss8+Ov/zlL3WpIi+vPffcc+OKK67Iy7EZFAECBGojkLEA9Omnn4699947kke0W7duvUxfDjvssKXCz6RAckfhnXfemZa944470u/+yD2Byy67LLbccssoKyurc+eSn5PXX389DcnrXJkKCBAgQIAAAQIECBAoaIHkRptka9yhb5S0WKugLZLBl86cFKXT348Kl4IHAUCAAIH/CWQkAE0eN/jFL36Rhp/JbfY//vGPlwJOQq+nnnoqPdapU6c477zzomXLlpGEnsldo0kIeuaZZ8amm2661HU+LC2QBMvz58+vPLi81wxUFsjQTu/evSP5ysSWPKKSBKCrrbZaJqpTBwECBAgQIECAAAECBKLl5idHs41+WvASc8bcFTOeP7vgHQAQIEDghwIZCUCTEHPixIlp3Y888kjssssuS7VT8Th8smhPEoZusskm6fnk/ZX9+vWL5B2T999/vwB0KbWqP3hVQNUujhIgQIAAAQIECBAgQIAAAQIECBCoSqC4qoM1PZbc0ZdsyaJGPww/Fy5cWPno+1577VUZfiblkzsYKxbxeeONN5JDNgIECBAgQIAAAQIECBAgQIAAAQIECGRMICMB6BdffJF2aIsttlimY6+++mrMmTMnPZ68I/SHW7du3dJDkydP/uEpnwkQIECAAAECBAgQIECAAAECBAgQIFAngYw8Al/xXsqqFj968cUXKzu42267Ve5X7CTvDE22ijoqjuf79yTwfeGFF+Ldd99NXx8wffr0mDt3brrQUHJnbGKZvC+1e/fusc0226R31zZqlJHpynda4yNAgAABAgQIECBAgAABAgQIECBQKZCRRK0ixEwWuPnh9txzz6WHNtpoo1hvvfV+eDpmzZqVHiuURXEeffTRuPrqq+Pll1+O8vLyZTyWd6B9+/ZxzDHHxNlnnx0/+tGPllfMcQIECBAgQIAAAQIECBAgQIAAAQIElhDIyCPw6667blrlW2+9tUTVEZ999lkkj8An25577rnUuYoP77//frqb3O2Yz9u8efPiwAMPjH322SeGDx9eo/AzcUnuEL3qqqti4403jieeeCKfqYyNAAECBAgQIECAAAECBAgQIECAQMYEMnIH6Lbbbpt26LXXXosHHnggDj744FiwYEGccsop6SPdyckDDjhgmU4vWrQo7rnnnvR4nz59ljmfTwcSk8ceeywdUnFxcey0007pglG9e/eOzp07R9u2bSO5k7aoqCgSl+TO2ClTpsTYsWNjxIgRkdw5Om3atPj2229j3333jSeffHKZBafyyctYCBAgQIAAAQIECBAgQIAAAQIECGRCICMBaLL6+yabbBJjxoyJQw45JM4666w0wJsxY0bax379+sUOO+ywVH+TMO/kk0+Ojz76KD2+3377LXU+nz4kwWdF+JlY3XHHHemdnCsaY/KY+wYbbBADBgyI4447Lm688ca4+eab45xzzknfl5ocGz9+fCTvC7URIECAAAECBAgQIECAAAECBAgQIFC1QEYegU/uWrztttuiRYsWaSvJqvAV4WerVq3Scz9sPnkk/u9//3t6eK+99ortttvuh0Xy5vNdd92VjiV5B+qzzz670vCzqoEnQeepp54aQ4cOTU8nrxdI7gK1ESBAgAABAgQIECBAgAABAgQIECCwfIGMBKBJ9VtttVUk7wA96qij0oAvuXvxZz/7Wbz++utR1ePtFcd23nnnysfgl9/Nhn0mMUi2E088MVq2bFmnwSSvEujZs2dax7Bhw+pUl4sJECBAgAABAgQIECBAgAABAgQI5LtARh6Br0Dq3r17+nh3xecVfT/22GPjsMMOK4j3WE6dOjWl6NGjx4pIqn1us802iw8++CCSO21tBAgQIECAAAECBAgQIECAAAECBAgsXyCjAejym1n2TD4/8v7D0SaPry9cuDCSleAzsSULTCVbSUlJJqpTBwECBAgQqDeB8rLStO7kf9wdf/zx9daOigkQIECAAAECBAgQILA8gVUWgC6vQ/l4fP31108XiHr55Zfj0EMPrdMQS0tL45VXXknr2HDDDetUl4sJECBAgEB9C5R+My5t4ssvv6zyneD13b76CRAgQIAAAQIECBAgkPEAdOLEiTFixIhI/kOn4k7F6jAn7xBN3geaj9tOO+2UBqB//etf44QTTojkEfbabr/97W/jq6++Si/fbbfdaluN6wgQIECAQFYEyssXp+00WmOjaLH54Ky0meuNzHjuV7neRf0jQIAAAQIECBAgkFcCGQtAk8Azea/n008/XSug008/PW8D0JNOOiluvPHG9BH4HXbYIS666KLUqlWrVtW2Gj16dFx88cXx4IMPptf0798/Cuk1AtWGUpAAAQIEclKguOVa0aLX4TnZt2x3SgCabXHtESBAgAABAgQIFLpARgLQ5LHsPffcM5KQzrasQK9eveLyyy+Pc845J2bNmhVnnHFGnHvuubH11ltH7969o0uXLtG2bdto1qxZFBcXR+KZlJs2bVqMHz8+vaN2woQJlRV36NAhhg4dWvnZDgECBAgQIECAAAECBAgQIECAAAECVQtkJAB97LHHKsPPFi1axM9+9rPo27dvrLHGGmmgV3XTSx9NVpDP5+3ss89OQ85f/epXMXPmzHRRpOHDh0fyVZMtuevzrrvuiuS9ojYCBAgQIECAAAECBAgQIECAAAECBFYskJEAtCLEa968ebz55pvRo0ePFbdaoGePO+642HfffeMvf/lL3H///ZWh8co4WrZsGXvssUck1yffbQQIECBAgAABAgQIECBAgAABAgQIVE8gIwFoxaI8gwYNEn6uxL1du3Zx/vnnp1/ffPNNujjSpEmTYvr06TF37twoKyuLxo0bR/J+0I4dO0a3bt1S00aNMjJVK+md0wQIECBAgAABAgQIECBAgAABAgTySyAjqVpFOLfBBhvkl049jyYJQ3fcccd6bkX1BAgQIECAAAECBAgQIECAAAECBApXoDgTQ+/atWtaTXIHo40AAQIECBAgQIAAAQIECBAgQIAAAQK5IpCRAHSfffZJx/P888/nyrj0gwABAgQIECBAgAABAgQIECBAgAABApGRALRPnz5xzDHHxHvvvRe33HILVgIECBAgQIAAAQIECBAgQIAAAQIECOSEQEbeAZqM5Oabb46ioqI4+eSTY+zYsXHGGWdEly5dcmKQOkGAAAECBAgQIECAAAECBAgQIECAQGEKZCQAHTVqVNx6662xaNGi6NSpU1x33XXpVxKArrnmmlFcvPIbTQ899NA4/fTTC3MWjJoAAQIECBAgQIAAAQIECBAgQIAAgXoRyEgAOm7cuLjpppuW6eBnn30WyVd1tm233bY6xZQhQIAAAQIECBAgQIAAAQIECBAgQIBAtQVWfmtmtatSkAABAgQIECBAgAABAgQIECBAgAABArklkJE7QH/605/G9OnTo2nTptGoUaNqPfL+Q4aSkpIfHvKZAAECBAgQIECAAAECBAgQIECAAAECdRLISADavHnzSL5sBAgQIECAAAECBAgQIECAAAECBAgQyCUBj8Dn0mzoCwECBAgQIECAAAECBAgQIECAAAECGRXIyB2gy+vRlClTYsKECfHNN99E+/btY8CAAcsr6jgBAgQIECBAgAABAgQIECBAgAABAgQyLpDxO0AnTZoUp512WnTu3Dk6deoU22+/fey7775xxRVXLNX5ESNGxODBg9N3hy51wgcCBAgQIECAAAECBAgQIECAAAECBAhkSCCjAeidd94ZPXr0iOuvvz6++OKLFXbxsccei5tvvjn69u0bn3zyyQrLOkmAAAECBAgQIECAAAECBAgQIECAAIHaCGQsAH344YfjmGOOiXnz5qX9aNOmTeyxxx6x1VZbVdmvZNX4ZEuC0kMOOSTKy8urLOcgAQIECBAgQIAAAQIECBAgQIAAAQIEaiuQkQB0wYIFcfLJJ6chZrt27eLuu++Or7/+Op588sk48MADq+zbLbfcEpdffnl67s0334ynn366ynIOEiBAgAABAgQIECBAgAABAgQIECBAoLYCGQlA//nPf0ay4FGjRo3imWeeiSOOOCLdX1mnzjvvvNhxxx3TYv/4xz9WVtx5AgQIECBAgAABAgQIECBAgAABAgQI1EggIwHoa6+9lja6zz77xOabb16jDhx22GFp+dGjR9foOoUJECBAgAABAgQIECBAgAABAgQIECCwMoGMBKDJ3Z/JVtX7PouKilbYh65du6bnK94JusLCThIgQIAAAQIECBAgQIAAAQIECBAgQKAGAhkJQBcvXpw22bhx42WaXtniRhXni4sz0pVl2neAAAECBAgQIECAAAECBAgQIECAAIHCFchI6tixY8dU8L339WYQ+wAAQABJREFU3quxZMU1a665Zo2vdQEBAgQIECBAgAABAgQIECBAgAABAgRWJJCRAHSLLbZI23jwwQfTxZBW1OCS5+bNmxc33nhjeqhfv35LnrJPgAABAgQIECBAgAABAgQIECBAgACBOgtkJADda6+9okWLFjFr1qxI9j/99NOVdmzq1KmRLJr08ccfp2UPOeSQlV6jAAECBAgQIECAAAECBAgQIECAAAECBGoi0KgmhZdXtk2bNnHeeefFhRdeGO+880706NEjDjzwwNh+++1jzJgx6WVff/11PP744/H555/HK6+8Eg899FDMnTs3PZcEodtss83yqnecAAECBAgQIECAAAECBAgQIECAAAECtRLISACatPzrX/86xo0bF0OHDo0FCxbEPffck35V9Or111+PQYMGVXys/L7lllvGHXfcUfnZDgECBAgQIECAAAECBAgQIECAAAECBDIlkJFH4JPOJKu433333XHbbbdFly5dVtq/5K7R5I7RYcOGRbJvI0CAAAECBAgQIECAAAECBAgQIECAQKYFMnYHaEXHjj322DjqqKNi+PDh8eqrr8aECRNixowZUVRUFK1atYr11lsvkkWTdtppp1httdUqLvOdAAECBAgQIECAAAECBAgQIECAAAECGRfIeACa9LCkpCQGDhyYfmW8xyokQIAAAQIECBAgQIAAAQIECBAgQIBANQUy9gh8NdtTjAABAgQIECBAgAABAgQIECBAgAABAlkTyOgdoOXl5TF27Nj48MMPI1n1fdGiRdGiRYvo1KlT9O7dO9Zaa62sDUxDBAgQIECAAAECBAgQIECAAAECBAgQyEgAOnny5Lj22mvTVd+nTp26XNWePXum7wf9xS9+kb4PdLkFnSBAgAABAgQIECBAgAABAgQIECBAgEAGBOr8CPxNN90U3bp1SwPQFYWfSV8/+OCDOPfcc6Nr165x//33Z6D7qiBAgAABAgQIECBAgAABAgQIECBAgMDyBep0B+j5558fV1xxxVK1J4+7b7755ulj740bN47Zs2fHxIkTY+TIkel+Ujh5PP7QQw+N999/Py6++OKlrveBAAECBAgQIECAAAECBAgQIECAAAECmRKodQB6zz33LBV+7rHHHnHhhRfGtttuW2XfFi5cGE888URceumlaRiaFLrkkkvSoHTw4MFVXuMgAQIECBAgQIAAAQIECBAgQIAAAQIE6iJQq0fgZ86cGaeddlrablFRUVx33XXx5JNPLjf8TAo2adIk9ttvv3jjjTfi//7v/9Jrkz/OPPPM9A7RygN2CBAgQIAAAQIECBAgQIAAAQIECBAgkCGBWgWgQ4YMiW+++SbtwnnnnVcZhlanT8XFxfG73/0ufvvb36bF582bF5dffnl1LlWGAAECBAgQIECAAAECBAgQIECAAAECNRKoVQB63333pY2svfbaaZhZoxb/VzgJQDfddNP007333hvz58+vTTWuIUCAAAECBAgQIECAAAECBAgQIECAwHIFahyAfvfdd5Xv8Dz22GOjadOmy618RSdKSkriV7/6VVokWSjptddeW1Fx5wgQIECAAAECBAgQIECAAAECBAgQIFBjgRoHoO+++26Ul5enDe222241bnDJCwYNGlT5cfTo0ZX7dggQIECAAAECBAgQIECAAAECBAgQIJAJgRoHoBMnTqxst3fv3pX7tdlp165drLXWWumlU6ZMqU0VriFAgAABAgQIECBAgAABAgQIECBAgMByBWocgH777bdpZc2bN49WrVott+LqnmjTpk1adMGCBdW9RDkCBAgQIECAAAECBAgQIECAAAECBAhUS6DGAWhpaWlacZMmTarVwMoKJavC2wgQIECAAAECBAgQIECAAAECBAgQIFAfAtLH+lBVJwECBAgQIECAAAECBAgQIECAAAECOSEgAM2JadAJAgQIECBAgAABAgQIECBAgAABAgTqQ0AAWh+q6iRAgAABAgQIECBAgAABAgQIECBAICcEGtW2F8miRVdddVVtL6+8bvr06ZX7dggQIECAAAECBAgQIECAAAECBAgQIJBJgVoHoPPmzYtzzjknk31RFwECBAgQIECAAAECBAgQIECAAAECBDIq4BH4jHKqjAABAgQIECBAgAABAgQIECBAgACBXBKo8R2gW2+9dZx//vkZH8OAAQMyXqcKCRAgQIAAAQIECBAgQIAAAQIECBAobIEaB6Dbb799JF82AgQIECBAgAABAgQIECBAgAABAgQI5LqAR+BzfYb0jwABAgQIECBAgAABAgQIECBAgACBWgvU+A7QWrfkQgIECBAgQIAAAQIECBCok0B56fz0+l122SUaNfKfc+PHj6+Tp4sJECBAoDAE/MYsjHk2SgIECBAgQIAAAQIE8kFg8cJ0FG+//XY+jMYYCBAgQIBAVgQEoFlh1ggBAgQIECBAgAABAgQyIVCeVtJuv79FUeOWmaiwQdfx78d+HmXzpjfoMeg8AQIECNS/gAC0/o21QIAAAQIECBAgQIAAgQwJFP2nnvJo/KPeUbxamwzV2YCrKWncgDuv6wQIECCQLQGLIGVLWjsECBAgQIAAAQIECBAgQIAAAQIECGRdQACadXINEiBAgAABAgQIECBAgAABAgQIECCQLQGPwGdLOoPtfPfdd2ltzZs3jyZNmmSwZlURIECAAAECBAgQIECAAAECBAgQyC8BAWiW5/O5556LRx99ND755JMoKiqKTTbZJA4//PDo1atXtXoyf/78WGONNdKyd999dxxxxBHVuk4hAgQIECBAgAABAgQIECBAgAABAoUoIADN0qzPmDEjDj744Hj66aeXavGxxx6LK664In7+85/H9ddfH61bt17qvA8ECBAgQIAAAQIECBAgQIAAAQIECNRewDtAa29XoysPOuigZcLPigrKy8vjrrvuii233DImTJhQcdh3AgQIECBAgAABAgQIECBAgAABAgTqKCAArSNgdS5PHnl/9tln06LJ4+tXXnllvP766zFq1KhIHmPfZptt0nMff/xx7LjjjvHpp58ut9okLLURIECAAAECBAgQIECAAAECBAgQIFA9AY/AV8+pTqXuvffe9PpmzZrFyy+/HD179qysb7PNNkvfAXrdddfF2WefHZMnT47ddtstXn311fjRj35UWa5iJ3lvqI0AAQIECBAgQIAAAQIECBAgQIAAgeoJuAO0ek51KvXmm2+m1ycLFi0ZflZUmoSaZ5xxRgwdOjSKi4tj/Pjxse+++8aCBQsqivhOgAABAgQIECBAgAABAgQIECBAgEAtBASgtUCr6SVTpkxJL9l2221XeOkhhxwSyZ2gyZbcAXrSSSetsLyTBAgQIECAAAECBAgQIECAAAECBAisWEAAumKfjJwtLS1N61lttdVWWt+pp54axx9/fFruzjvvjGuuuWal1yhAgAABAgQIECBAgAABAgQIECBAgEDVAgLQql0yerRdu3ZpfR999FG16r3hhhsqF0Y655xz4sEHH6zWdQoRIECAAAECBAgQIECAAAECBAgQILC0gAB0aY96+ZQsdJRsd911VyxcuHClbTRt2jQefvjh2GCDDaKsrCxdJCn5bCNAgAABAgQIECBAgAABAgQIECBAoGYCAtCaedWq9EEHHZReN2HChDjyyCNj7ty5K61nzTXXjKeeeio6dOiQhqYHHnhgXH311WkgutKLFSBAgAABAgQIECBAgAABAgQIECBAIBUQgGbhByFZ/X3jjTdOW3rggQdiww03jJNPPjkWL168wtY32mijeP7556NTp05p2bPPPjv69++/wmucJECAAAECBAgQIECAAAECBAgQIEDgewEB6PcW9bbXpEmT+Pvf/x7t27dP2/jqq6/Sx+FLSkpW2mbPnj1jxIgR0bdv37Tse++9t9JrFCBAgAABAgQIECBAgAABAgQIECBA4L8CAtAs/ST06tUr3nzzzRg0aFAUFRWlj7ZXt+nOnTvHa6+9Fuedd14kYaqNAAECBAgQIECAAAECBAgQIECAAIHqCTSqXjGlMiGw3nrrxaOPPhpffPFFVHdF+Ip2k4WRLr/88hg8eHAMHTo05s2bF5tuumnFad8JECBAgAABAgQIECBAgAABAgQIEKhCQABaBUp9H1pnnXUi+arN1qVLl/j1r39dm0tdQ4AAAQIECBAgQIAAAQIECBAgQKDgBDwCX3BTbsAECBAgQIAAAQIECBAgQIAAAQIECkdAAFo4c22kBAgQIECAAAECBAgQIECAAAECBApOQABacFNuwAQIECBAgAABAgQIECBAgAABAgQKR8A7QBvQXM+cOTM6depU2eMhQ4bEIYccUvm5vnbGjx8fTz75ZJSXl9e5iVGjRqV1LFq0qM51qYAAAQIECBAgQIAAAQIECBAgQIDAygQEoCsTyqHzSQA5Z86cyh6VlpZW7tfnzhlnnBGPP/54Rpt4++23M1qfyggQIECAAAECBAgQIECAAAECBAhUJSAArUrFsaUELrjggujatWuUlZUtdbw2H4YNGxbvvPNObLLJJrW53DUECBAgQIAAAQIECBAgQIAAAQIEaiQgAK0R16ot3KpVq/jqq68qO9G6devK/frc6d+/fyRfmdiSu0mTALRFixaZqE4dBAgQIECAAAECBAgQIECAAAECBFYoIABdIU9unSwqKooOHTrkVqf0hgABAgQIECBAgAABAgQIECBAgEAOC1gFPocnR9cIECBAgAABAgQIECBAgAABAgQIEKibgAC0bn6uJkCAAAECBAgQIECAAAECBAgQIEAghwU8Ar+KJmfGjBkxfPjwePfdd2PixIkxffr0mDt3bixevDiaNGkSyfs9O3XqFBtvvHFsu+22Fg1aRfOkWQIECBAgQIAAAQIECBAgQIAAgYYtIADN8vy99NJLcfXVV8dTTz0VpaWl1W59vfXWixNOOCFOPfXUWH311at9nYIECBAgQIAAAQIECBAgQIAAAQIEClnAI/BZmv2FCxfGcccdFwMHDozHH3+8RuFn0sXkLtELLrggunfvHkmIaiNAgAABAgQIECBAgAABAgQIECBAYOUC7gBduVFGShx99NFx3333VdbVr1+/2GWXXaJ3797RpUuXaNu2bTRr1iyKi4tj0aJFMXPmzJgyZUqMGzcuXnvttXj66adj1qxZ8eWXX8buu+8ezz33XAwYMKCyPjsECBAgQIAAAQIECBAgQIAAAQIECCwrIABd1iTjR5599tnK8DMJPG+77bbYYostqtXOT37yk7TcnDlz4tprr42LLrooFixYEEmgOnbs2CgpKalWPQoRIECAAAECBAgQIECAAAECBAgQKEQBj8BnYdb/+te/pq2svfba8eKLL1Y7/Fyyay1atIgLL7wwDU+T4+PHj49nnnlmySL2CRAgQIAAAQIECBAgQIAAAQIECBD4gYAA9Acg9fHx1VdfTas98cQTY4011qhTE0ceeWR069YtreOFF16oU10uJkCAAAECBAgQIECAAAECBAgQIJDvAgLQLMxw8i7PZNt0000z0trmm2+e1vP5559npD6VECBAgAABAgQIECBAgAABAgQIEMhXAe8AzcLMNmrUKJJV4JOvTGyLFy9OqykqKspEdeogQIAAAQIECBAgQIAAgTwQKFs0Nx3FSy+9FMcff3wejKjuQ0j+u3nvvfeOffbZp+6VqYEAgQYrIADNwtStu+668eGHH6aruR988MF1arGsrCytJ6lk/fXXr1NdLiZAgAABAgQIECBAgACB/BEo/XpMOphx48ZF8mX7r8CwYcMEoH4YCBS4gAA0Cz8AO+64YxqAJqu/Dx48ODbeeONat3rllVfGF198kV6/yy671LoeFxIgQIAAAQIECBAgQIBAngmUl6UDatKpfzTr8bM8G1zNh1M275uY9eqlUVpaWvOLXUGAQF4JCECzMJ3J4ke33HJLzJ49O7bbbru46qqr4rDDDosmTZpUu/WJEyfGpZdeGkOGDEmv2WyzzWLgwIHVvl5BAgQIECBAgAABAgQIECgMgUZtN4oWvQ4vjMGuYJSlMyamAegKijhFgECBCAhAszDRffv2jQsuuCAuueSSmD59ehxzzDFx+umnx/bbbx+9e/eOLl26RLt27aJZs2ZRXFwcixYtSsPSqVOnxvjx42PEiBExatSoKC8vT3ubrCQ/dOjQ8A7QLEyeJggQIECAAAECBAgQIECAAAECBBq0gAA0S9N38cUXR5s2beI3v/lNzJ8/P2bMmBGPP/54+lWTLvTp0yfuvffe6NmzZ00uU5YAAQIECBAgQIAAAQIECBAgQIBAQQoUF+SoV9GgzzzzzPjoo4/inHPOiWRhpOpuySryyfs+77vvvhg5cqTws7pwyhEgQIAAAQIECBAgQIAAAQIECBS8gDtAs/wj0Llz50gWMkq+Pv300xg9enRMmjQpvvnmm5gzZ04kq7w3btw4WrVqFWuttVZstNFGkTxC37Jlyyz3VHMECBAgQIAAAQIECBAgQIAAAQIEGr6AAHQVzuH6668fyZeNAAECBAgQIECAAAECBAgQIECAAIH6EfAIfP24qpUAAQIECBAgQIAAAQIECBAgQIAAgRwQEIDmwCToAgECBAgQIECAAAECBAgQIECAAAEC9SMgAK0fV7USIECAAAECBAgQIECAAAECBAgQIJADAgLQHJgEXSBAgAABAgQIECBAgAABAgQIECBAoH4EBKD146pWAgQIECBAgAABAgQIECBAgAABAgRyQEAAmgOToAsECBAgQIAAAQIECBAgQIAAAQIECNSPgAC0flzVSoAAAQIECBAgQIAAAQIECBAgQIBADggIQHNgEnSBAAECBAgQIECAAAECBAgQIECAAIH6ERCA1o+rWgkQIECAAAECBAgQIECAAAECBAgQyAEBAWgOTIIuECBAgAABAgQIECBAgAABAgQIECBQPwIC0PpxVSsBAgQIECBAgAABAgQIECBAgAABAjkgIADNgUnQBQIECBAgQIAAAQIECBAgQIAAAQIE6kdAAFo/rmolQIAAAQIECBAgQIAAAQIECBAgQCAHBASgOTAJukCAAAECBAgQIECAAAECBAgQIECAQP0ICEDrx1WtBAgQIECAAAECBAgQIECAAAECBAjkgIAANAcmQRcIECBAgAABAgQIECBAgAABAgQIEKgfAQFo/biqlQABAgQIECBAgAABAgQIECBAgACBHBAQgObAJOgCAQIECBAgQIAAAQIECBAgQIAAAQL1IyAArR9XtRIgQIAAAQIECBAgQIAAAQIECBAgkAMCAtAcmARdIECAAAECBAgQIECAAAECBAgQIECgfgQEoPXjqlYCBAgQIECAAAECBAgQIECAAAECBHJAQACaA5OgCwQIECBAgAABAgQIECBAgAABAgQI1I+AALR+XNVKgAABAgQIECBAgAABAgQIECBAgEAOCAhAc2ASdIEAAQIECBAgQIAAAQIECBAgQIAAgfoREIDWj6taCRAgQIAAAQIECBAgQIAAAQIECBDIAQEBaA5Mgi4QIECAAAECBAgQIECAAAECBAgQIFA/Ao3qp1q1EiBAgAABAgQIECBAgAABAgRWvcCcOXPi4YcfXvUdyZEerLfeerHZZpvlSG90g0B2BASg2XHWCgECBAgQIECAAAECBAgQIJBFgbL536WtTZ06Nfbbb78stpzbTRUXF0di0r59+9zuqN4RyKCAADSDmKoiQIAAAQIECBAgQIAAAQIEckOgfNGctCNFjZpF0y4Dc6NTq7gXCz57McpK58XMmTMFoKt4LjSfXQEBaHa9tUaAAAECBAgQIECAAAECBAhkUaC4+ZrRdu87sthi7jY19Y6tYvHMSbnbQT0jUE8CFkGqJ1jVEiBAgAABAgQIECBAgAABAgQIECCw6gUEoKt+DvSAAAECBAgQIECAAAECBAgQIECAAIF6EvAIfD3BqpYAAQIECBAgQIAAAQIECBAgkEsC5YsXpt254447vAP0fxPTsmXLOOKII6JJkya5NFX6kmEBAWiGQVVHgAABAgQIECBAgAABAgQIEMhFgbJ509NuXXzxxbnYvVXWpyT8TEJQW/4KCEDzd26NjAABAgQIECBAgAABAgQIECDwvUB5ebrfrPvPorhpq++PF+jegs9fjtJ/j425c+cWqEDhDFsAWjhzbaQECBAgQIAAAQIECBAgQIAAgVh96zOjUev1Cl7iu+fPSgPQgocoAACLIBXAJBsiAQIECBAgQIAAAQIECBAgQIAAgUIVEIAW6swbNwECBAgQIECAAAECBAgQIECAAIECEBCAFsAkGyIBAgQIECBAgAABAgQIECBAgACBQhUQgBbqzBs3AQIECBAgQIAAAQIECBAgQIAAgQIQEIAWwCQbIgECBAgQIECAAAECBAgQIECAAIFCFRCAFurMGzcBAgQIECBAgAABAgQIECBAgACBAhAQgBbAJBsiAQIECBAgQIAAAQIECBAgQIAAgUIVEIAW6swbNwECBAgQIECAAAECBAgQIECAAIECEBCAFsAkGyIBAgQIECBAgAABAgQIECBAgACBQhUQgBbqzBs3AQIECBAgQIAAAQIECBAgQIAAgQIQEIAWwCQbIgECBAgQIECAAAECBAgQIECAAIFCFRCAFurMGzcBAgQIECBAgAABAgQIECBAgACBAhAQgBbAJBsiAQIECBAgQIAAAQIECBAgQIAAgUIVEIAW6swbNwECBAgQIECAAAECBAgQIECAAIECEBCAFsAkGyIBAgQIECBAgAABAgQIECBAgACBQhUQgBbqzBs3AQIECBAgQIAAAQIECBAgQIAAgQIQEIAWwCQbIgECBAgQIECAAAECBAgQIECAAIFCFRCAFurMGzcBAgQIECBAgAABAgQIECBAgACBAhAQgBbAJBsiAQIECBAgQIAAAQIECBAgQIAAgUIVEIAW6swbNwECBAgQIECAAAECBAgQIECAAIECEGhUAGPMuyHOmjUrHVOzZs2iUSNTmHcTbEAECBAgQIAAAQIECBAgQIAAAQIZE3AHaMYos1PRggULolWrVunX/fffn51GtUKAAAECBAgQIECAAAECBAgQIECggQoIQBvoxOk2AQIECBAgQIAAAQIECBAgQIAAAQIrFxCArtxICQIECBAgQIAAAQIECBAgQIAAAQIEGqiAALSBTpxuEyBAgAABAgQIECBAgAABAgQIECCwcgEB6MqNlCBAgAABAgQIECBAgAABAgQIECBAoIEKWEI8CxN39dVXx/DhwzPSUllZWUbqUQkBAgQIECBAgAABAgQIECBAgACBQhAQgGZhlkeOHBmPPvpoFlrSBAECBAgQIECAAAECBAgQIECAAAECSwp4BH5JDfsECBAgQIAAAQIECBAgQIAAAQIECOSVgDtAszCdJ510UjzwwANRXl4ef/zjH2PvvfeudasLFiyInj171vp6FxIgQIAAAQIECBAgQIAAAQIECBAoJAEBaBZme+DAgXH66afHH/7wh7j00kvj4IMPjg4dOtSq5SQAtREgQIAAAQIECBAgQIAAAQIECBAgUD0Bj8BXz6nOpS677LL0zs1p06bF0Ucfnd4NWudKVUCAAAECBAgQIECAAAECBAgQIECAwAoFBKAr5MncydVWWy3uuuuuaNSoUTz11FNx/fXXZ65yNREgQIAAAQIECBAgQIAAAQIECBAgUKWAALRKlvo52K9fv7jwwgvTys8999x477336qchtRIgQIAAAQIECBAgQIAAAQIECBAgkAp4B2iWfxAuuOCCOP7449NWW7ZsWePWi4uLY6eddkqv69ixY42vdwEBAgQIECBAgAABAgQIECBAgACBQhIQgGZ5tktKSqJTp061brVx48bx/PPP1/p6FxIgQIAAAQIECBAgQIAAAQIECBAoJAGPwBfSbBsrAQIECBAgQIAAAQIECBAgQIAAgQITEIAW2IQbLgECBAgQIECAAAECBAgQIECAAIFCEhCAFtJsGysBAgQIECBAgAABAgQIECBAgACBAhMQgBbYhBsuAQIECBAgQIAAAQIECBAgQIAAgUISsAhSA5rtWbNmRffu3St7/Kc//Sn233//ys/1tTN58uR04aWysrI6N/HBBx+kdSxevLjOdamAAAECBAgQIECAAAECBAgQIECAwMoEBKArE8qh80kA+eWXX1b2aO7cuZX79blz8sknx6OPPprRJkaOHJnR+lRGgAABAgQIECBAgAABAgQIECBAoCoBAWhVKo4tJfDLX/4y2rZtG+Xl5Usdr82HN954Iz788MOl7mStTT2uIUCAAAECBAgQIECAAAECBAgQIFAdAQFodZRypMzqq68e48aNq+zNWmutVblfnzs777xzJF+Z2M4444w0AG3VqlUmqlMHAQIECBAgQIAAAQIECBAgQIAAgRUKCEBXyJNbJ4uLi6Nbt2651Sm9IUCAAAECBAgQIECAAAECBAgQIJDDAlaBz+HJ0TUCBAgQIECAAAECBAgQIECAAAECBOomIACtm5+rCRAgQIAAAQIECBAgQIAAAQIECBDIYQGPwK+iyVmwYEEkCwK9++67MWnSpJg+fXrMmTMnkpXeGzduHK1bt45OnTqliwVts8020blz51XUU80SIECAAAECBAgQIECAAAECBAgQaLgCAtAsz92oUaPi2muvjYceeigNPKvbfJ8+feKEE06I448/Ppo2bVrdy5QjQIAAAQIECBAgQIAAAQIECBAgUNACHoHP0vQvXrw4zjzzzOjXr18MHTq0RuFn0sXkTtFTTjklevXqFSNHjsxSrzVDgAABAgQIECBAgAABAgQIECBAoGELuAM0S/M3ePDguPXWWytb69q1a+y8887Ru3fv6NKlS7Rt2zaaNWsWyUrvixYtipkzZ8ZXX30VY8eOjddeey2GDRsWCxcujAkTJsTAgQPjpZdeis0337yyPjsECBAgQIAAAQIECBAgQIAAAQIECCwrIABd1iTjR5LwsiL8TILPm266KXbZZZcatZO8I/SKK65IH5+fPXt2HHnkkTF69Og0MK1RRQoTIECAAAECBAgQIECAAAECBAgQKCABj8BnYbKHDBmStrLmmmvGyy+/XOPwM7m4ffv2cfXVV8cNN9yQ1vX+++/H888/n+77gwABAgQIECBAgAABAgQIECBAgACBqgUEoFW7ZPToK6+8ktZ34oknRocOHepUd/Io/frrr5/W8dxzz9WpLhcTIECAAAECBAgQIECAAAECBAgQyHcBAWgWZnjy5MlpK3379q1za0VFRbHVVlul9UyaNKnO9amAAAECBAgQIECAAAECBAgQIECAQD4LCECzMLvJwkbJlqwEn4mtvLw8rabieybqVAcBAgQIECBAgAABAgQIECBAgACBfBQQgGZhVjt37py28uabb9a5tST0fOONN9J61l133TrXpwICBAgQIECAAAECBAgQIECAAAEC+SwgAM3C7G6//fZpK8lK8HV9bP3Pf/5zTJw4Ma3vxz/+cRZ6rwkCBAgQIECAAAECBAgQIECAAAECDVdAAJqFuTv++OPTVr777rsYMGBAPPTQQ1FWVlajlqdPnx5nnXVW/PKXv0yv69GjR61Wk69RowoTIECAAAECBAgQIECAAAECBAgQaOACjRp4/xtE9/v37x+nnXZa/PGPf4xkQaT9998/OnXqFMkdnL17944uXbpE27Zto3nz5pG8L3TRokUxe/bsmDp1aowfPz5GjBgRw4cPT48nA27RokXcfffdadkGAaCTBAgQIECAAAECBAgQIECAAAECBFaRgAA0S/B/+MMfolWrVnHZZZeliyF9+eWXMXTo0Bq3vuGGG8b9998f/fr1q/G1LiBAgAABAgQIECBAgAABAgQIECBQaAIegc/SjBcVFcVFF10UY8aMiZNOOim947MmTW+xxRZx8803x/vvvx/Jvo0AAQIECBAgQIAAAQIECBAgQIAAgZULuAN05UYZLdG9e/c0yEwWMxo9enT6lSyM9M0338TcuXPTu0ObNGmS3i3asWPH6NatW2y55ZbRoUOHjPZDZQQIECBAgAABAgQIECBAgAABAgQKQUAAuopmuaSkJPr27Zt+raIuaJYAAQIECBAgQIAAAQIECBAgQIBA3gt4BD7vp9gACRAgQIAAAQIECBAgQIAAAQIECBSugAC0cOfeyAkQIECAAAECBAgQIECAAAECBAjkvYAANO+n2AAJECBAgAABAgQIECBAgAABAgQIFK6AALRw597ICRAgQIAAAQIECBAgQIAAAQIECOS9gAA076fYAAkQIECAAAECBAgQIECAAAECBAgUroAAtHDn3sgJECBAgAABAgQIECBAgAABAgQI5L2AADTvp9gACRAgQIAAAQIECBAgQIAAAQIECBSugAC0cOfeyAkQIECAAAECBAgQIECAAAECBAjkvYAANO+n2AAJECBAgAABAgQIECBAgAABAgQIFK6AALRw597ICRAgQIAAAQIECBAgQIAAAQIECOS9gAA076fYAAkQIECAAAECBAgQIECAAAECBAgUroAAtHDn3sgJECBAgAABAgQIECBAgAABAgQI5L2AADTvp9gACRAgQIAAAQIECBAgQIAAAQIECBSugAC0cOfeyAkQIECAAAECBAgQIECAAAECBAjkvYAANO+n2AAJECBAgAABAgQIECBAgAABAgQIFK6AALRw597ICRAgQIAAAQIECBAgQIAAAQIECOS9gAA076fYAAkQIECAAAECBAgQIECAAAECBAgUroAAtHDn3sgJECBAgAABAgQIECBAgAABAgQI5L2AADTvp9gACRAgQIAAAQIECBAgQIAAAQIECBSugAC0cOfeyAkQIECAAAECBAgQIECAAAECBAjkvYAANO+n2AAJECBAgAABAgQIECBAgAABAgQIFK6AALRw597ICRAgQIAAAQIECBAgQIAAAQIECOS9gAA076fYAAkQIECAAAECBAgQIECAAAECBAgUroAAtHDn3sgJECBAgAABAgQIECBAgAABAgQI5L2AADTvp9gACRAgQIAAAQIECBAgQIAAAQIECBSugAC0cOfeyAkQIECAAAECBAgQIECAAAECBAjkvYAANO+n2AAJECBAgAABAgQIECBAgAABAgQIFK6AALRw597ICRAgQIAAAQIECBAgQIAAAQIECOS9gAA076fYAAkQIECAAAECBAgQIECAAAECBAgUroAAtHDn3sgJECBAgAABAgQIECBAgAABAgQI5L2AADTvp9gACRAgQIAAAQIECBAgQIAAAQIECBSugAC0cOfeyAkQIECAAAECBAgQIECAAAECBAjkvYAANO+n2AAJECBAgAABAgQIECBAgAABAgQIFK6AALRw597ICRAgQIAAAQIECBAgQIAAAQIECOS9gAA076fYAAkQIECAAAECBAgQIECAAAECBAgUroAAtHDn3sgJECBAgAABAgQIECBAgAABAgQI5L2AADTvp9gACRAgQIAAAQIECBAgQIAAAQIECBSugAC0cOfeyAkQIECAAAECBAgQIECAAAECBAjkvYAANO+n2AAJECBAgAABAgQIECBAgAABAgQIFK6AALRw597ICRAgQIAAAQIECBAgQIAAAQIECOS9gAA076fYAAkQIECAAAECBAgQIECAAAECBAgUroAAtHDn3sgJECBAgAABAgQIECBAgAABAgQI5L2AADTvp9gACRAgQIAAAQIECBAgQIAAAQIECBSugAC0cOfeyAkQIECAAAECBAgQIECAAAECBAjkvYAANO+n2AAJECBAgAABAgQIECBAgAABAgQIFK6AALRw597ICRAgQIAAAQIECBAgQIAAAQIECOS9gAA076fYAAkQIECAAAECBAgQIECAAAECBAgUroAAtHDn3sgJECBAgAABAgQIECBAgAABAgQI5L2AADTvp9gACRAgQIAAAQIECBAgQIAAAQIECBSugAC0cOfeyAkQIECAAAECBAgQIECAAAECBAjkvYAANO+n2AAJECBAgAABAgQIECBAgAABAgQIFK6AALRw597ICRAgQIAAAQIECBAgQIAAAQIECOS9gAA076fYAAkQIECAAAECBAgQIECAAAECBAgUroAAtHDn3sgJECBAgAABAgQIECBAgAABAgQI5L2AADTvp9gACRAgQIAAAQIECBAgQIAAAQIECBSugAC0cOfeyAkQIECAAAECBAgQIECAAAECBAjkvUCjvB9hjg9w1qxZMWnSpJg+fXrMnTs3ysrKonHjxtG6devo1KlTrLPOOlFcLKfO8WnUPQIECBAgQIAAAQIECBAgQIAAgRwVEIBmeWLKy8vjueeeiwceeCCef/75+OSTT1bYgxYtWsTWW28dgwYNiiOOOCLat2+/wvJOEiBAgAABAgQIECBAgAABAgQIECDwvYBbC7+3qPe9N998M/r16xe77rprDBkyZKXhZ9KhOXPmpEHpGWecEV26dInf/OY3sXDhwnrvqwYIECBAgAABAgQIECBAgAABAgQI5IOAO0CzNItPPPFEHHDAAbFgwYLKFpO7O3v16hWdO3eOtm3bRvPmzdPH3RctWhQzZ86MKVOmxNixY+Pzzz9Pr5k3b15ceumlMXz48HjyySfT8pWV2SFAgAABAgQIECBAgAABAgQIECBAYBkBAegyJJk/8NVXX8Vhhx2Whp9FRUXp/uDBg6N///5RUlKy0gYnT54c//jHP+Kaa65J3xc6bNiwOOWUU+L2229f6bUKECBAgAABAgQIECBAgAABAgQIEChkAY/AZ2H2b7zxxvSOzmQxo7/97W8xdOjQGDBgQLXCz6R7a6+9dpx66qnx/vvvxx577JH2+I477ogJEyZkofeaIECAAAECBAgQIECAAAECBAgQINBwBQSgWZi75HH1ZDv44IPTx+Br22TyyPw999wTyfdkMaVHHnmktlW5jgABAgQIECBAgAABAgQIECBAgEBBCAhAszDN48aNS1vZc88969xa8q7QHXfcMa1nzJgxda5PBQQIECBAgAABAgQIECBAgAABAgTyWUAAmoXZnT9/ftpKq1atMtJaEoIm2+zZszNSn0oIECBAgAABAgQIECBAgAABAgQI5KuAADQLM9uuXbu0lU8//TQjrVXUU1FvRipVCQECBAgQIECAAAECBAgQIECAAIE8FBCAZmFSN9tss7SVu+++O8rKyurUYvLY+2uvvZbWscUWW9SpLhcTIECAAAECBAgQIECAAAECBAgQyHcBAWgWZvjAAw9MW3n77bfj2GOPjblz59aq1XfffTcGDRqUhqjNmzePfffdt1b1uIgAAQIECBAgQIAAAQIECBAgQIBAoQgIQLMw0z//+c9j0003TVu68847Y8MNN4zzzjsvnnvuufj666+X24PS0tL4+OOPI7lzdL/99ot+/frFxIkT0/IXXXRReAR+uXROECBAgAABAgQIECBAgAABAgQIEEgFGnGof4EmTZrE448/HrvvvnuMHTs2vvrqq7jyyivTr6T11VZbLZKFjZo1axbFxcWRBJ+zZs2Kf//731U+Mn/uuefGmWeeWf8d1wIBAgQIECBAgAABAgQIECBAgACBBi4gAM3SBHbp0iXeeuutuPzyy+PPf/5zfPfdd5UtJ6vEf/nll5Wfl7fTv3//uOSSS2LnnXdeXhHHCRAgQIAAAQIECBAgQIAAAQIECBBYQkAAugRGfe+2aNEiDTAvuOCCePrpp+OFF16I9957LyZNmhTTp09P3w2aLJLUuHHjaNWqVXTs2DG6desWW221Vey9997Rs2fP+u6i+gkQIECAAAECBAgQIECAAAECBAjklYAAdBVMZ/Koe7KAkUWMVgG+JgkQIECAAAECBAgQIECAAAECBApKwCJIBTXdBkuAAAECBAgQIECAAAECBAgQIECgsAQEoIU130ZLgAABAgQIECBAgAABAgQIECBAoKAEBKAFNd0GS4AAAQIECBAgQIAAAQIECBAgQKCwBLwDtAHN9+zZs2Prrbeu7PGVV16ZLo5UeaCedr755pt45ZVXory8vM4tTJgwIa0jWewp17dFX4+JeROezPVu1nv/Smd8mraxeM4UHv+RWDz36/+aL17E438/feXli9O9hV+8Gotnffm/o4X7rWzBd+ngS/89zs/IfyQSh2QrmzedRyrx/R9+x/zPomxRurNwyptRtmju90AFulc277+/Z0q/+8Q/M//5GVg0bXT6k1C2YAaPyn8m/vvv5PMn/iuKGreoPFqoO+Wl89OhL5w6KqK4caEyVI578ez//rvY4pmf+WfmPyql33yY2pT/5/eL37sVPyb//W/xBZ+9FIua/9en4kwhfk/+WbEVhkDRf0KtuqdahWG1ykc5Y8aMaNOmTWU/7r777jjiiCMqP9fXzv777x8PPfRQRqtP+p30Pxe3wYMHx80335yLXdMnAgQIECBAgAABAgQIECBAIMMCQ4YMieOOOy7DtaoulwTcAZpLs5GjfTn66KPTnmXirs0kxJ04cWKccsopOTraSP/S+/rrr6O0tDRn+5jNji1cuDDef//96Ny5c7Rv3z6bTedsWx9++GE0bdo0Nthgg5ztYzY7Nnny5EjuFN9kk02iuNibVWbOnBnjx4+PjTfeOFq0cGdO8nfpmDFjYq211ooOHTpk80czZ9v6+OOP075ttNFGOdvHbHZs6tSpMWXKlPTvkEaN/KvpnDlzYty4cdG1a9do1apVNqciJ9tK/v0z+TukXbt2sfbaa+dkH7PdqU8++SQWLFgQPXr0yHbTOdne9OnT4/PPP49evXpFkyZNcrKP2ezU/Pnz44MPPoj1118/1lhjjWw2nZNtJfd7JR6rr756dOnSJSf7mO1OffbZZzFr1qzo2bNnFBUVZbv5nGyvZcuWsddee+Vk33QqcwLuAM2cZb3XtHjx4hg5cmRlOxtuuGH6L4OVB+wQIECAAAECBAgQIECAAAECBAgQILCUgAB0KQ4fCBAgQIAAAQIECBAgQIAAAQIECBDIJwHPKubTbBoLAQIECBAgQIAAAQIECBAgQIAAAQJLCQhAl+LwgQABAgQIECBAgAABAgQIECBAgACBfBLwpvlVNJvJy5iTF7q/++676aJAycu7586dG8mL3hs3bhytW7eOTp06Rffu3WOrrbZaavX3VdRlzRIgQIAAAQIECBAgQIAAAQIECBBocAIC0CxPWbIy8HXXXRd/+9vfYtq0adVqvaSkJLbbbrs44YQT4pBDDonks40AAQIECBAgQIAAAQIECBAgQIAAgZULWARp5UYZKZHc8XnJJZfExRdfHIsWLap1nX369In77rsvevToUes6XEiAAAECBAgQIECAAAECBAgQIECgUAQEoFma6TPPPDOuvfbaytY6dOgQO+20U/Tu3Ts6d+4cbdu2jebNm0dxcXEakM6cOTOmTJkSY8eOjREjRsRbb70VSYiabGussUa8/PLL0bNnz8r67BAgQIAAAQIECBAgQIAAAQIECBAgsKyAAHRZk4wfef3116N///5pvWuvvXb6CPz++++fhp3VbWzSpEnp3aO33XZbesnmm2+ehqJFRUXVrUI5AgQIECBAgAABAgQIECBAgAABAgUnYBX4LEz5X/7yl7SV5M7NV199NQ488MAahZ/Jxeuuu24MGTIkrrjiirSut99+O4YNG5bu+4MAAQIECBAgQIAAAQIECBAgQIAAgaoFBKBVu2T06PDhw9P6TjzxxOjSpUud6j777LPTR+aTSp599tk61eViAgQIECBAgAABAgQIECBAgAABAvkuIADNwgx//vnnaStbbrllnVtL3hFa8Tj9p59+Wuf6VECAAAECBAgQIECAAAECBAgQIEAgnwUEoFmc3YpFjOraZElJSVpFWVlZXatyPQECBAgQIECAAAECBAgQIECAAIG8FhCAZmF611lnnbSVUaNGZaS1kSNHpvVU1JuRSlVCgAABAgQIECBAgAABAgQIECBAIA8FBKBZmNRtt902beXWW2+Nr776qk4t3nHHHfHxxx+ndQwcOLBOdbmYAAECBAgQIECAAAECBAgQIECAQL4LCECzMMPHHnts2srXX38d22+/fbzwwgs1bnX27NlxySWXxAknnJBeu8EGG8Tuu+9e43pcQIAAAQIECBAgQIAAAQIECBAgQKCQBIr+817K8kIa8Koa63HHHRe33357ZfMbb7xx7LrrrtG7d+90Zfi2bdtGs2bNIlnkqLS0NGbNmhXTpk2L8ePHx4gRI+KZZ56JJARNtqZNm8a//vWv2G677Srrs0OAAAECBAgQIECAAAECBAgQIECAwLICAtBlTerlyOLFi+OMM86IG264IeqSOXfq1Cnuueee8Ph7vUyTSgkQIECAAAECBAgQIECAAAECBPJMQACa5Ql9880345prrolHH3005s2bV+3WN9poo0juIj355JNj9dVXr/Z1ChIgQIAAAQIECBAgQIAAAQIECBAoZAEB6Cqa/ST8TB5tf++992LSpEkxffr0mDt3bpSVlUXjxo2jVatW0bFjx+jWrVtstdVW6fdV1FXNEiBAgAABAgQIECBAgAABAgQIEGiwAgLQBjt1Ol5fAhdddFFceeWVaQDdpEmT+mpGvQTqLDB16tT0ncFrr712netSAYH6EkheAfPFF19E69ato02bNvXVjHoJ1Fkgedd68j+kk9cN+f1fZ04V1KOA3//1iKvqjAn4/Z8xShXVs0Dy+//bb7+Nv//97xaarmfrVV29AHRVz4D2c05g6623jjfeeCPn+qVDBAgQIECAAAECBAgQIECAQOYFTjvttLjuuusyX7Eac0agUc70REcI5IhAnz590gD097//ffzsZz/LkV7pBoFlBZKwfubMmenrNJK762wEclHg1VdfTd9hvc0228Ttt9+ei13UJwKpwO9+97v4f//v/4Xf/34gcl3A7/9cnyH9SwT8/vdz0FAEKn7/9+zZs6F0WT9rKSAArSWcy/JXoKioKB1c8g7W7t275+9AjazBC5SUlKRjSN4VvMYaazT48RhAfgokj78nW4sWLfydmp9TnDejqnhFg9//eTOleTsQv//zdmrzamB+/+fVdOb1YCp+/+f1IA0uFSjmQIAAAQIECBAgQIAAAQIECBAgQIAAgXwVEIDm68waFwECBAgQIECAAAECBAgQIECAAAECIQD1Q0CAAAECBAgQIECAAAECBAgQIECAQN4KCEDzdmoNjAABAgQIECBAgAABAgQIECBAgAABAaifAQIECBAgQIAAAQIECBAgQIAAAQIE8lZAAJq3U2tgBAgQIECAAAECBAgQIECAAAECBAgIQP0MECBAgAABAgQIECBAgAABAgQIECCQtwIC0LydWgMjQIAAAQIECBAgQIAAAQIECBAgQEAA6meAAAECBAgQIECAAAECBAgQIECAAIG8FRCA5u3UGhgBAgQIECBAgAABAgQIECBAgAABAgJQPwMECBAgQIAAAQIECBAgQIAAAQIECOStgAA0b6fWwAgQIECAAAECBAgQIECAAAECBAgQEID6GSBAgAABAgQIECBAgAABAgQIECBAIG8FBKB5O7UGRoAAAQIECBAgQIAAAQIECBAgQICAANTPAAECBAgQIECAAAECBAgQIECAAAECeSsgAM3bqTUwAgQIECBAgAABAgQIECBAgAABAgQEoH4GCPxAoFWrVumR1q1b/+CMjwRySyD5WW3SpEk0a9YstzqmNwSWEKj4u7Ti79YlTtklkFMCFT+jFd9zqnM6Q2AJAb//l8Cwm7MCfv/n7NTo2A8EKn7vV3z/wWkf80igqPw/Wx6Nx1AI1Flg1qxZ8dJLL8Wee+4ZJSUlda5PBQTqS2Ds2LExe/bs2GKLLeqrCfUSyIjAs88+G717944OHTpkpD6VEKgPAb//60NVnfUh4Pd/faiqsz4E/P6vD1V1ZlrA7/9Mi+ZufQLQ3J0bPSNAgAABAgQIECBAgAABAgQIECBAoI4CHoGvI6DLCRAgQIAAAQIECBAgQIAAAQIECBDIXQEBaO7OjZ4RIECAAAECBAgQIECAAAECBAgQIPD/27sPuCmK+4/jY8desKDGXmNDxFhiAY0lKqISsGONYsOGlZiosUaNiL1r1FjBxBiNIqiIsWJBRaNYULGhUSP2tv/5Tv4zmbtn727vuXsebu8+83rB3e3OtvfOs7f32yk1ChAArRGQxRFAAAEEEEAAAQQQQAABBBBAAAEEEECgcQUIgDbuuWHPEEAAAQQQQAABBBBAAAEEEEAAAQQQQKBGAQKgNQKyOAIIIIAAAggggAACCCCAAAIIIIAAAgg0rgAB0MY9N+wZAggggAACCCCAAAIIIIAAAggggAACCNQoQAC0RkAWRwABBBBAAAEEEEAAAQQQQAABBBBAAIHGFSAA2rjnhj1DAAEEEEAAAQQQQAABBBBAAAEEEEAAgRoFCIDWCMjiCCCAAAIIIIAAAggggAACCCCAAAIIINC4AgRAG/fcsGcIIIAAAggggAACCCCAAAIIIIAAAgggUKMAAdAaAVkcAQQQQAABBBBAAAEEEEAAAQQQQAABBBpXgABo454b9gwBBBBAAAEEEEAAAQQQQAABBBBAAAEEahQgAFojIIsjgAACCCCAAAIIIIAAAggggAACCCCAQOMKEABt3HPDniGAAAIIIIAAAggggAACCCCAAAIIIIBAjQIEQGsEZHEEEEAAAQQQQAABBBBAAAEEEEAAAQQQaFwBAqCNe27YMwQQQAABBBBAAAEEEEAAAQQQQAABBBCoUYAAaI2ALI4AAggggAACCCCAAAIIIIAAAggggAACjStAALRxzw17hgACCCCAAAIIIIAAAggggAACCCCAAAI1ChAArRGQxRFAAAEEEEAAAQQQQAABBBBAAAEEEECgcQUIgDbuuWHPEEAAAQQQQAABBBBAAAEEEEAAAQQQQKBGAQKgNQKyOAIIIIAAAggggAACCCCAAAIIIIAAAgg0rgAB0MY9N+wZAggggAACCCCAAAIIIIAAAggggAACCNQoQAC0RkAWRwABBBBAAAEEEEAAAQQQQAABBBBAAIHGFSAA2rjnhj1DAAEEEEAAAQQQQAABBBBAAAEEEEAAgRoFCIDWCMjiCEggSRIzbdo08/XXXwOCAAIINK3At99+a/7zn/+Y7777rsOP8auvvjKff/55h2+HDTSnwBdffOG+l/X9TEKgUQV++OEHd0395ptvOnwXv//+e/PZZ58ZbZOEQLUCKqOUn2rVyN/MAvz+z+fZnTmfu81eI1BZ4PXXXzfHHnus+eSTT1zmu+++28w666yVF8yYQ8HOK664wtx8883m6aefDsHPxRdf3GyxxRbmsMMOM927d8+4NrK1ssBf/vIXc/HFF7tA+vrrr29OOeWUunDsueee5p133sm8rg033NCcdNJJmfOTsTUEnnvuOXP++eebUaNGmbffftsd9AwzzGCWXHJJs+mmm5qDDz7Y9OzZsy4Y9913n7nsssvM2LFjzUcffeTWOddcc5mf//znZu+99zY77bST0bZJCBQL6IfIrbfeaq655hrz6KOPuh/qyqPv/VVXXdVst912rqwuuOCCxYtm/nz11VebG2+8MXN+Zbz33nvNTDPNVNUyZG5ugTfffNNcdNFFRvel//rXv0JAcqGFFjL6Hta1btttt60LwuTJk83w4cPNXXfdZV577TXz448/mplnntn9TfTr188ceuihZr755qvLtlhJ8wncf//95sorrzQPPvigee+999wBzjjjjGa55ZYzW265pTnkkEPMSiut1O4DV5kcNGhQVcsPHTrU3XtUtRCZW1LgySefNMcff7w79nnnndeMHDmyZgd+/9dMOP1XYG8YSQg0nYD9AZ3YH82q9hH+2dpEdTvOt956K7E/qMK64+349/YHT2JvOv61iGgAAD4mSURBVOu2TVbUfAKffvppssceexSUoz59+tTtQBdeeOGCdfuyWep1++23r9u2WVFzCJxwwgmJ/bFTthzZgGRy4okn1nTAtkZSsv/++5fdjsrt1ltvndiafTVti4WbT2Dq1KnJxhtvXLH8dO3aNXnooYfaDWB/7FfcRvH11daWbvf2WLD5BC6//PKkS5cuFcvRVlttldiWRTUB3H777ckcc8xRdluLLbZY8swzz9S0HRZuPoEvv/wysQ8cy5YdXetsMD0599xz2w1gH3ZW3EbxNdU+hGr39liwdQT0u/+nP/1pKF/6/q818fu/VsHGWJ4aoPaqSmoeAT2d3Hfffc0//vGPDjsoPfmxP8LNxIkT3TZUY2+//fYzK664olGTuzFjxrgn+3qvWqD25tL079+/w/aHFedTQE/V99prr1CjriOOwgZY3Wq7detmevfuXXETP/vZzyrmIUPrCNigpjn11FPdAavG0MCBA439UW5Ug+7dd991T9JVe9nezpiTTz7ZLLHEEu762x4hG2g1NjDgFrWBe3ftXG+99cwss8xifA3UV155xdWYUu2oW265pT2bYZkmFFCzTNVEskEcd3S63h144IFG1zOVW31Xq7XGiy++aP7973+7mnXPP/+8K6/Vcvhrqpb71a9+5cpnpXWothQJAQncdNNNxj7ocRiqya4a7X379jUqsypbqvmu66C6/9B9rO4RRowY0S68J554wq1f3ZWoBrLWpW2plumUKVPMn//8Z3PHHXe4a7mu6xMmTDC69pIQkMBuu+1m9P2utMACC7hammqJYQPq7r5Vte1Vg1ndKhx55JHut47Kc7Upvqaus846Ztlll624iqWWWqpiHjIgoPvKl156qW4Q/P6vG+X0X1FjxGHZCwRqF7DV2hP7Je2e9Ngmb8nZZ5+drLXWWuHJT71qgJ5xxhlhnbvuumuimkvFafz48cnss8/u8tkb20RPUkkISEC1gWyTs0S15uw3QLL00ksn119/fShT9aoBqvKu9eufbeYGPgJVCUyaNMnV7FD5UW0l2/wtdXnbdUMoZ6pJlHY9TF0wmvjyyy8nqjGvbdkgamK7bYjm/vet7Qs0sT+OwrZss+I2eZjQmgJ/+MMfQrno0aNHYoOcbSBskDSxQdKQb/DgwW3yZJmg67O/rtof/lkWIQ8CTkDXMNVAUvnR9c4GH1NldP8Y19q0XSyl5qs00d//6l7DBlFTs9sub0J5/vWvf52ah4mtJ/C3v/0tlIvll18+9TtZKvbBZ0G+9kj96U9/CuuwDwjaswqWQaCNgFp6+NZL/rpbaw1Qfv+3Yc7tBB5L2zsRUnMIDBs2zHz88cdm5ZVXNo899pg56qijTL1rXqjjePWFp6Q+ky655JLUbag/vCFDhrh877//vnvq7z7wX8sLqF9DlSH7rWFsAN3VulCfX/VO8VN19XtDQqAaAfWjqJodSrqW9urVK3Vx1bRbffXV3TzVClUtomqT/h50bVXSdVy15ovTnHPO6Wrx+enKR0JAAuqfzqdrr73W1Vbyn/2r+gE977zz/EdXcyl8qOKNv66qX1rVqiMhkFXgzjvvdDWQld92feNqY6Ytq/tHX0tU89vTokk1SdU3vdKOO+7oaiu7D0X//fa3vzW2iaibet1114X9K8rGxxYT0Pe/TxdccEHqd7Lmq4ad+gJXevXVV419cOreV/OfBlX0iXtVL8FrLQJqgaka7+rv2HbtZdZcc81aVueW5fd/zYQNtQICoA11OtiZWgXUkfZTTz1lbC2QWleVuvzDDz8cOgFXU4955pknNZ8m2qfpYZ6aipAQ8AIqNzfccINrglauDPn87Xn1P9S1LAMctEewtZdR8HONNdZwTSIHDBhQFkPN4nzSgBvVJD0I8E081TRTN6ulkvZHTeSUNFiSH+CuVH6mN7+AbV3hmg+rCxoFjlRGSiU9HFVTTiUNQtOe5K+r/FBvj15rL6OuGmw/tWaVVVZxQclyGvFDUdvnXLmsqfPie0510VQqqZLAPvvs42Z/++23rkl8qbxMbx2B+eef36gLGg0et/nmm5c8cJUfdQPmkx8k0X/O8uqvqcrLvWoWMfJUEjj66KONBkLWg0o9LFd3I7Umfv/XKthYy9MHaGOdD/amBgHVxlxttdVqWEPlRfVU3SeNflwuqY8ajZKoEQ7HjRvnajhRY6ScWGvMm3vuuc2zzz5rlllmmXDACgLVO8U3lfxYr7du86/PNis2+pclxdc19blYTdIIyB988IFbRLVM43WlrUfXXfVtp6fxuiGt10jJadtiWuMLqD8629Qt84768uVfMy/4/xl9bSV+qFcrR/4999zT6F+WFJdPlfFqk79XVc3nOJiatp74XvaBBx4IAdG0vExrDYGrrroq84HGLe1s11+Zl/MZuVf1ErzWQ2D06NHm0ksvdas655xzjO1mrB6rdf0z+xXF10w/LX7l93+s0ZjvZ2zM3WKvEKheoKODn9ojDZzgk2/26T+nvfp9Ui0VBUJJCKgpbxz8lEg9nk4Wy3JTWSzC544SUEDfp+7du/u3mV5feOGFkK+aa6oW0uBIJASyCti+Zc2HH37osre3SZy/rvJQKas6+dojoIfmPq299tr+baZX1d63/Sq7vCussIKZbbbZyi6nWn7+HiS+xy27EDMRsAJ6EPnoo486C5WzLN/hxXD+mqrpPFgq1uFzNQJ6QKka7apUooER1Sq0Xim+NmYp5/z+r5d8x6ynuqoaHbMPrBWB3AjETZE04nGlFOfRsmqmR0KgMwSKbypVy+7GG280jzzyiJk6daobHVlPKXv37m369+/vRvbsjP1iG80loNqYKlNKeiru+wPLepS1XFPb24w5676Rr7kE4j5A1T9YtUk/9qdNm+YW0w91ja7917/+1dgBucwbb7zh+sxVNw4KWO288851q3lS7X6SP98CqtF80UUXuYPQ9XSHHXao6oDUF7Pvvzm+By21EgWuVG51X8A1tZQS09MEjjvuODP5/7u9UbdfanJcbYrvVfVgyQ4CZm677TZX4UTXW7WaUj+1ffv2LdkXebXbJH9zChx++OFG3TDo+7maWsxZNGq5V+X3fxbhzs1DALRzvdlazgU0yJKSmnlm+aJXPzo+2ZFp/VteEehwgfimUv2NarCar7/+us121dn9Mccc4wb0qvaHVpuVMaGlBPTjxDfpVJPNrE3mY6T4uhhfL+M88fs4T7xsnIf3CBQLKKjkA6Dqg9H3e1icr9xn3/xdeRQo0gNN/+M/Xm7kyJFGg8sceuih5swzzzSzzDJLPJv3CAQBDZJpR4d3383qs86Ovm3sqNgugNmtWzfXJ2e1zYrj66Lv8zZssMQb5VMAVPcNCvTHTfBLLMLkFhPQIEdKKiNqfXH11Vebf/7zn26aatudffbZ7n21//l7VdVC1oBdd999d5tVaCCwc88913XncP311/NwqY0QEzTInAZBVNLAmosvvrh7X6//+P1fL8nGWA8B0MY4D+xFTgTUlF0p6w1ply5dwpH5ZcME3iDQgQL+plKbGDNmjNvSuuuu62onqU8xPZEcNWqUG0hGtUN/9atfGd1Y7rbbbh24V6y6WQT0o139b6oPT6XTTz/dla1qj++rr74Ki2S5rsZ5uKYGOt6UEdDAiBpcS7Xi9ODy5ptvNuobsdoUD7o1ceJEt7hq2Knm8yKLLOICAwq06m9C29IPdgVINciXb2Jc7TbJ39wCBx98sLn99tsLDlJ9x2uQzSFDhoRBuwoyVPgQX1Pje9Byi8X5tHyWB/zl1se85hLQaNrqTiFOqgii/mX3339/s/vuu7f7Guevq2q2rOCn7k8322wztz0F49X0+MEHHwz9fmvQxccee6zq1ibxvvO+uQT00EflUGm77bYzAwcOrPsB+vvN+B603Ebia6pftlx+5nWuAAHQzvVmazkX0E2AUtzpd7lDivP5ZcvlZx4C9RKIA6Dql1E1PXv06FGwegWxjjjiCHPllVe6PnPUX46axNf7yWnBRvmQe4H33nvPBT8VWFJSsyPVIm5Piq+LWYJEcZ6OGDysPcfAMo0rcM8997haRaqtrB8uf/nLX9rVT52OML6mqlnm8OHDXQ3o+Hte+dTVyL777utq9Sm4paZ4ah5KQiCLgLpWUJcK6h9Zo8ZXm+JranHZLLWuOF+8fKn8TEdA38WfffaZK6fqdqG9941xzfr99tvPtSSJW3pI+qWXXjIDBgwwevCk+w9dT/UAn4SABPQgSbXpF1xwQXPZZZd1CIq/LsbXynIbivP5ZcvlZ17nChAA7VxvtpZzAV9r5Ntvv810JHE+v2ymBcmEQI0Cxx9/vBk8eLBbi/r3Sit/quVxxRVXGN286sn7F198YS6++GJz2mmn1bh1Fm9WAQ14oD5jVWaUTjjhBHPKKae0+3Djcqkf/pVSnCdettJyzG89gbPOOssMHTrU1RxSn2BqXrzRRhu1G0IDH0yZMsUtr8HsSg3Yseuuu5pvvvkmNLPXfhAAbTd7Uy+o8qnuGHSvqGuqarYpaH7TTTe5fwcccID7To4f/FQCia+L8fWy3HLcq5bTYZ6COX//+9/dg3LdJ6q7BvV9PHbsWNccXveN6mpJte+qTWpGr5qe2saiiy6aurj6AFXAU92XKGB63333GQ2+2N7B7FI3wsRcCtx6663mlltucft+ySWXuNYYHXEg/roaXyvLbSfO55ctl595nSvAKPCd683Wci7gR35VEyHfyXy5Q9LTUZ9K/Vjy83lFoJ4CKqt6Iq9/lb58f/Ob34RNq8YUCYE0geuuu870tjWE9UNd/RoqeF5L8FPbmGeeecKm/AAzYULKm7i2iL8ep2RjUgsLKPiorjyOPfZY98N6mWWWMQ8//HBNwU9x6jrqr6mVvs/VN+5PfvITdxYmTZpkXnvttRY+Ixx6KYGePXuabbbZxg10pFpM6oZG5WWdddZxi1x66aXmnHPOKbV46vT4upjlmqqV+HtVDYgUN91M3QATW1JA5bRPnz6uewY9YFezdAVBVRterYnUbcPLL79ctY36utV1tVTw069wscUWM3vvvbf/aLhXDRQt+0a1Pg866CB3/Lvssot7OJ+GUY/WQv66yu//NOH8TSMAmr9zxh5PR4H4C1odxldKvpaU8ukLnoRAIwrox5Yf9IAf6o14hqb/PinQqaCOnmqrmZFqYNSjVpt+1Pikm9lKiWtqJaHWnq9m6ptvvrlrhi4JNSF+4oknzKqrrtqpMKrNtN5664VtqsYUCYEsArom/vWvfw2BSA0uoxpyWVN8n5rlmqrmmT4f96lZlckngS222CIE6PXgadiwYR0Ks/7664f1c00NFC37Rv1+qv9PPeRULeSOTPF1ld//HSndOesmANo5zmylSQRWWmmlcCSvvPJKeF/qjfqtUdKPoXjZUvmZjsD0EFBn9vqnVM0Premxr2yz8wXUv+fvfvc7t2E1QVNAqVevXnXZEY2k7ZNqPlVKftAl5dO+kBDwAhpMQwMSjRs3zk1SgH706NEuYO/zdOZrPFhClhYjnblvbKuxBfRj29cC/fDDD02W+01/RKpVr1p1SlmuqQok+eaaampMQqAagbjZu2rad2TimtqRuvlatx6Ga+R3JT3AWX755d13vR7QF//T4IRKGsk9nlfN93L8Gz7L9Tj+/R/f57od4b/pLkAAdLqfAnYgTwJxjQ71hVcu+c7BlUeD0KjPMBICjSjw0UcfuT7rtG8LL7xwI+4i+zSdBM4880yjGkhKG2ywgVF/XXraXq+01lprueb0Wt8jjzxScbXavk8aDZaEgAS+/vpr1zzzmWeecSAnnXSS66JBXTVMr/T222+HTWuUeFJrC2iwQT1IOvDAAzM9aFRzdJ/U72I1ad1113XZFTx99dVXyy4aX1N1jSe1toACS+eee64b2DBLrbq4nHb0aNe+D2adIa6prV1O42btapaumqCl/vm+kLVMnKcawVp+/2u8BVJjCfy3yk9j7RN7g0DDCmy55Zbux7oupiNGjDDqB6dU0miz/ulS3759S2VjOgJ1F1DzjIEDBxr9AFdAU301lUsaAMmnn/3sZ/4try0ucNddd7lBZMSgcqE+t+p9I6cHQ6q1p77ENKiBfqzrSX5a0tP7MWPGuFmq/VkqX9qyTGtuAfUD5gPoCjKdeOKJdT/gI444wtUu1XVVg9WUexCg2qjKo6RaS53dBL/uB88KaxZQf55PPfWUW8/uu+/uHiiVW6mvQaQ8cfPLcsv4ebrnvOOOO9xH3ased9xxflab19tuuy1Mi2vzhYm8aSkBNWUfMmSIO2b1Y6yBuNSKrVSqpZzqd5KCrbqmHnrooebII48stRk3Pb5XXXvttcvmZWZzC3Tt2tUNzJXlKDVYp+4v1V+tBpjzyXf95T+Xe/3lL3/J7/9yQHmbZ6PhJASaVsB+QSb2b9L9s0+IKh6nDWwmtsmQ+2ebBaXm33nnncM67Zd3ah77FDSxVd5dPlsDJXnzzTdT8zERAQm88cYboUzZTuYzodgf2KGs2oBnwTK2T69k6aWXDuu0gayC+fEHO6hMstxyy4W8pcp0vAzvm1/A9qWY2GaUrlzYmhbJe++91+6Dtj9uQlnVtbE4jRw5MpQ/O4J28ezw2f44CvmGDx8epvOmtQVsM7hQLvr3799ujErf/0cddVTYzl577VV2OzYgG/KWK9NlV8LMphI4+eSTQ5mw/dQmtruZksdnRzYOee2Dnjb5yn3/K7NtgZTYQTvcOnT9trWe2qxDE+xDg8SOMO/ybbjhhql5mNh6AquttloofzZwXxZgwIABIa+tFNImb7nv/8cffzwsa/ufTVSuS6X7778/lFU7CF1iB14qlZXpCBQIbLbZZq6c2aBpwfT4Q6Xvf+Xl938slu/3Jt+7z94j8F8BfRHqS7b43xprrBG+XG3Nojbzi79AJ0+eHPKXulDaPugS2+TD5dMNpn58xemDDz5Ittpqq7AeW2skns37FhewTdLalEP9CPGBen1RF5djfVZQM062WXJYxj6hj2e595dcckmYb/sES2688cY2P7iee+65JH5IYDuYb7OdNitmQksIDB06NJSf008/PbVMppVT251CGx9bezSsSz9iipPKtu3vLuQ5+uijk/iBlW5MzzrrrPDjRwGBeH7x+vjcOgIKItm+uVzZ0cPG8ePHZy6rxcH4St//epA5xxxzhHI6ePDgNj/Y9QP+kEMOCXls7c/EjozcOieEIy0poAeV888/fygbO+ywQ6IyFyfbF2dyxRVXFJSziy66KM7i3lf6/lcmXTP9fYVtvpm8YR+0xsn215jYmqUuj63hl+gzCQEJ6H7Rlx1dV1Xeiq+Xtt/FZJ999gn5dK1Lq+xR6fvftgAJ69D96PPPP19wEnSNv+GGGxLdx/p9+uMf/1iQhw8IlBPIEgCt9P2v9fP7v5xyvuYRAM3X+WJvSwjoCaX/YqzmVTeaccpyAVT+q6++OvwY1/aWXXbZxFaPT2yfdMmss84a9sX2p8QP9RiY98kvfvGLUD6qKauqkRenSj+AFFTaZZddCralmiC62VRZXXnllQvmqRaoAlokBCSw5JJLFpSPrGW1X79+bQAr/QDSAq+99lqocapt6eHSJptskujGdaGFFgr7oum2n8c222BCawrENYiyllGfzzaFK0DL8v1/yy23JLbZXCiPXbp0SRRc2nrrrRPb72J4OKptKHBgmxcXbIMPrS1gu/pIFCjyZVC1L/VdrGudypFtohnmKY+CpGk1RSt9/0vZdsGUbLvttmF9Kre6FusBvR3sKEzXdmxfz619Yjj6NgJ6wOPLqV718EflR2V19dVXL7gOKoB+3XXXtVmHJlT6/n/rrbeSpZZaqmBbKp+6T9X9avz9r/2w3TvxoD5VmomlBOoVANX6+f1fSjlf0wmA5ut8sbclBDo7AKrdUFNhNdmIbxD8e91oDho0KLEd15fYYya3qkBnBUDlqx9O55xzTqLazL5sFr8qYK+yavtXbNVTwnGnCPiaQcXlpdLn9gZAtQuqoaQfV6W2oVqiL7zwQsreMqlVBVRrrVR5qTS9PQFQOdsRZZMePXqU3a4efj755JOtelo47jICEyZMSHr37l22/Kim6BlnnOGCmGmryhIA1XKqUaoa9fGD+fjvQsGla6+9Nm0TTEPAlY0llliibFlVMNT2zV1Sq1IAVAuq5dxuu+1WEFSNy6ne656kUnP8kjvBjJYWqGcAVJD8/s9/cZpBh2AvLCQEci1ga66ZF198sepj0MAE6uTbJ40kO3bsWPfR3jAa+2Pcz0p9tU0zzejRo42thWI02qYGO7BPLo19wm4WW2yx1GWY2NoCtommG4WwWgUbODUzz/y/cetsbSVjm1a61dgbVKNBYUoldWpvmx6bp59+2thmS8bWDjULLLCAG5jD9kVm1Jk4CYFYQANnqdxUmzQy65prrlmwmAaDsX3Numn2x5ArewUZij7YrhncYEc2IOrmqHzrWsygB0VQfDS2Zrz7/m0PRffu3Y3t5zYsWu33v0acHzdunLHNPo1GobU1pIytSW9scMvdB4QV8waBFAF9f+s6a/ubN9OmTXMDbKg82uC6K0O2dnHKUv+dVM33v5bQ/akGkJk4caLRiPL6ztf1dIsttjDltlNyB5jRMgL2Qbq7ztkHOkYjxOu+QIMX2lqbbiAvlddyqZrvf92f3nfffcY2NXbXdt3zagAw+/DTbLzxxgX3wOW2yTwEYgH/u8u2ynCDbsbz/Ptqv//5/e/l8vlKADSf5429RgABBBBAAAEEEEAAAQQQQAABBBBAAIEMAjNmyEMWBBBAAAEEEEAAAQQQQAABBBBAAAEEEEAglwIEQHN52thpBBBAAAEEEEAAAQQQQAABBBBAAAEEEMgiQAA0ixJ5EEAAAQQQQAABBBBAAAEEEEAAAQQQQCCXAgRAc3na2GkEEEAAAQQQQAABBBBAAAEEEEAAAQQQyCJAADSLEnkQQAABBBBAAAEEEEAAAQQQQAABBBBAIJcCBEBzedrYaQQQQAABBBBAAAEEEEAAAQQQQAABBBDIIkAANIsSeRBAAAEEEEAAAQQQQAABBBBAAAEEEEAglwIEQHN52thpBBBAAAEEEEAAAQQQQAABBBBAAAEEEMgiQAA0ixJ5EEAAAQQQQAABBBBAAAEEEEAAAQQQQCCXAgRAc3na2GkEEEAAAQQQQAABBBBAAAEEEEAAAQQQyCJAADSLEnkQQAABBBBAAAEEEEAAAQQQQAABBBBAIJcCBEBzedrYaQQQQAABBBBAAAEEEEAAAQQQQAABBBDIIkAANIsSeRBAAAEEEEAAAQQQQAABBBBAAAEEEEAglwIEQHN52thpBBBAAAEEEEAAAQQQQAABBBBAAAEEEMgiQAA0ixJ5EEAAAQQQQAABBBBAAAEEEEAAAQQQQCCXAgRAc3na2GkEEEAAAQQQQAABBBBAAAEEEEAAAQQQyCJAADSLEnkQQAABBBBAAAEEEEAAAQQQQAABBBBAIJcCBEBzedrYaQQQQAABBBBAAAEEEEAAAQQQQAABBBDIIkAANIsSeRBAAAEEEEAAAQQQQAABBBBAAAEEEEAglwIEQHN52thpBBBAAAEEEEAAAQQQQAABBBBAAAEEEMgiQAA0ixJ5EEAAAQQQQAABBBBAAAEEEEAAAQQQQCCXAgRAc3na2GkEEEAAAQQQQAABBBBAAAEEEEAAAQQQyCJAADSLEnkQQAABBBBAAAEEEEAAAQQQQAABBBBAIJcCBEBzedrYaQQQQAABBBBAAAEEEEAAAQQQQAABBBDIIkAANIsSeRBAAAEEEEAAAQQQQAABBBBAAAEEEEAglwIEQHN52thpBBBAAAEEEEAAAQQQQAABBBBAAAEEEMgiQAA0ixJ5EEAAAQQQQAABBBBAAAEEEEAAAQQQQCCXAgRAc3na2GkEEEAAAQQQQAABBBBAAAEEEEAAAQQQyCJAADSLEnkQQAABBBBAAAEEEEAAAQQQQAABBBBAIJcCBEBzedrYaQQQQAABBBBAAAEEEEAAAQQQQAABBBDIIkAANIsSeRBAAAEEEEAAAQQQQAABBBBAAAEEEEAglwIEQHN52thpBBBAAAEEEEAAAQQQQAABBBBAAAEEEMgiQAA0ixJ5EEAAAQQQQAABBBBAAAEEEEAAAQQQQCCXAgRAc3na2GkEEEAAAQQQQAABBBBAAAEEEEAAAQQQyCJAADSLEnkQQAABBBBAAAEEEEAAAQQQQAABBBBAIJcCBEBzedrYaQQQQAABBBBAAAEEEEAAAQQQQAABBBDIIkAANIsSeRBAAAEEEEAAAQQQQAABBBBAAAEEEEAglwIEQHN52thpBBBAAAEEEEAAAQQQQAABBBBAAAEEEMgiQAA0ixJ5EEAAAQQQQAABBBBAAAEEEEAAAQQQQCCXAgRAc3na2GkEEEAAAQQQQAABBBBAAAEEEEAAAQQQyCJAADSLEnkQQAABBBBAAAEEEEAAAQQQQAABBBBAIJcCBEBzedrYaQQQQAABBBBAAAEEEEAAAQQQQAABBBDIIkAANIsSeRBAAAEEEEAAAQQQQAABBBBAAAEEEEAglwIEQHN52thpBBBAAAEEEEAAAQQQQAABBBBAAAEEEMgiQAA0ixJ5EEAAAQQQQAABBBBAAAEEEEAAAQQQQCCXAgRAc3na2GkEEEAAAQQQQAABBBBAAAEEEEAAAQQQyCJAADSLEnkQQAABBBBAAAEEEEAAAQQQQAABBBBAIJcCBEBzedrYaQQQQAABBBBAAAEEEEAAAQQQQAABBBDIIkAANIsSeRBAAAEEEEAAAQQQQAABBBBAAAEEEEAglwIEQHN52thpBBBAAAEEEEAAAQQQQAABBBBAAAEEEMgiQAA0ixJ5EEAAAQQQQAABBBBAAAEEEEAAAQQQQCCXAjPncq/ZaQQQQAABBBBAIOcCP/74oxk0aJCZa665zLBhw3J+NOm7//HHH5uvvvrKzezWrZuZaaaZ0jPWMPXDDz803377rVvD4osvXsOa8rGoPOWqNO+887ryk489r20vf/jhB/P++++7lXTp0sV07dq1thWyNAIIIIAAAgi0lAA1QFvqdHOwCCCAAAIIINAoAkmSmCuvvNJcf/31jbJLdd+Pfffd1/zkJz9x/95+++26r18r7Nu3b9jG119/3SHbaKSV3n777eF4L7300kbatQ7dFwU/fVnac889O3RbrBwBBBBAAAEEmk+AGqDNd045IgQQQAABBBBoUAHV+hw/frz79+abb7q9/OKLL8wJJ5xgll12WbPhhhuaFVdcsUH3nt1CAAEEEEAAAQQQQCCfAgRA83ne2GsEEEAAAQQQqCDw5JNPmssvv9z06tXL7L777hVyd/xs1fY85ZRTzFtvvVWwMdVaPO2008K09dZbz1xwwQVm7bXXDtMa9c3YsWPNDTfcYLbaaivTr1+/Nru59dZbG98sfZ555mkzvx4T+vfvb3r27OlWNfPMzX9rqwD5wQcf7I63R48e9SBsmHWceOKJ5t133zVnnXWWmX/++Qv2a8455wzHvdpqqxXM4wMCCCCAAAIIIFBJYAbb/CqplIn5CCCAAAIIIIBA3gR+85vfmNNPP931szm9mworYHXxxRcHwuWXX96sssoq5m9/+5uZddZZjYKeCtj6/jLVx+E//vEP07t377BMI77xx3XssceaM888sxF3kX3KicA333xjFCRXf67qLkHN3UkIIIAAAggggEC9BOgDtF6SrAcBBBBAAAEEGkrgsccea4j9GTVqVAh+rrTSSubxxx83kyZNMiNHjnT7N/fccxvVpJw6dao5+uij3TTVCh04cKBp9D4tG8W4IU40O1GTwNNPPx0Gs6ppRSyMAAIIIIAAAgikCBAATUFhEgIIIIAAAgjkW0B9bapGZXuSGse88847ZvLkyWUDkKqppn48p0yZYjRCdan05z//Ocy67bbbzDrrrBM+x280Grya/u6zzz5ustZ70003xVnavNdxvvfee+b11193r/pcS1INVB23auB9//33ZVf15Zdfmueee65snkadKSf56vz5EeTT9lW1EuWh8tBeWzm98cYb7vyUa3j1ySefuPPoR3hP25/2TJs2bZr58MMPy5bRrOv99NNPncd3331XdhHl0zHL19dqLruAndkRwXQdu7qcUHkud54r7Zvm65i1Lh1Toz+YyHI85EEAAQQQQKDVBAiAttoZ53gRQAABBBBoYoFXX33VrL766mbVVVc1Cn4oKeioafp3wAEHhKP/7W9/G6YrSKPBiI466iiz4IILuua3yyyzjFHtTPVv+fLLL4fl/vWvf5kddtjBNdddeumlzRJLLGHmm28+s//++xsFfoqTAmhKat6rfaiUVAt0hRVWMAMGDDDzzjtvm+wKxF133XVmk002MeoXcbHFFjPLLbece1UQ9Ze//KW555572iznJ6jZvfd46KGH3GQ1t9cATFpex73kkku69xphfeLEiX5R9/rMM8+45ddcc80QJL3qqqvCOn0tVmU+7LDDwnT17dgRSf27+uMpDnINGTLEzVtjjTWMgo+fffaZGTx4sFlggQXcedP50zFvt912Lvjo90+B3T59+rjzLw81x1aflIcccoj5/PPPfbbwqnPi9+GYY45x0+W0+eabu/OuAa50nhZeeGGjrhniAOKf/vQnoz4ttU86j127dnUDYWl6WrrrrrvCtq699tq0LEbBVJVllU2VO21Xx6lj8g8GRowYEdYzZsyYgvVovf54dP5VO1nlSgby0N9OcZowYYLZa6+9TLdu3Vw+HbN8VUb193jGGWekBkPlpW2deuqpYZWbbbZZ2L4clbQPfp98H6hhgeiNAq86x0sttZQ7dr2qPM8xxxyur9hzzz03dT+0ihdffDFsQ2VaSdv3ZUHr8mVmo402Mvfff7/Lw38IIIAAAgggkAMBezNIQgABBBBAAAEEmkLghRdeUN/mJf9tueWW4TgPOuigkM/W7Ep+/vOfh8/F61hooYWS999/P3n00UcTG0gqmU/rsLVBwzb0RtvU+uwAPYkNsoZ5toalm24DXmFapTc2UJvYoFrJ7cf7ffzxx6eu7tZbbw3L33LLLckf//jH8Dle3r+3QeDEBobCuh5++OGy+XfaaaeQd/vttw95bWAqTK/nG9t/atiGfOK0xx57hHm2FmSy1lprhc/++PyrHawpsbUvExvUSmafffaS+WxwLt5EeG/7cnXLbLvttskjjzxSdh177723W84GiEtuR/tlB84K6/dv7KBTYZmzzz7bTw6vtoZiYoN0IY8/Pv+qcmgD6Mkf/vCHkMcGwMPyemMH4QrzHnzwwWTTTTcNn7Ue2+drQf7LLrssmWmmmQry+O3FrzaAmXz00UcFy+68885llxs3bpzLb2vshnzbbLNNwTr8h5tvvrmNuw3AJv7c+H1ZeeWVE/tgwi8WXlXOfR4b5E3uvPPONsv6+XrVMduAdFieNwgggAACCCDQuALUALV3LyQEEEAAAQQQaA4B1TqzQUqjEdd9skE4N03TzzvvPD/Z2OBFeD906FDXnFujr6tJuWoKqnakapwpqQmxRmq3wT03qrlqUaqWnQ3mGBtQdDVAlc8Gvoxq6MXJBt3cRzUpjwcKsreHcbZM70844QRz3333ubyqNaiantoP1UD84IMP3HGrNqqSatyl1QSNR0q/9957Xb+jNkhrbKDL/Oc//3HrU41AP8K4atJquz6pNqUshw0b5ie5/ko1Tf800n2jpPgcH3HEEa6Wpw3WOSsdq2rwaVR1JTVz16BZu+yyi9EgVXfffber0atzr5HuVYNSafTo0eaBBx5w7+P//Lb+/e9/G18rVetXWVKZuvDCC80ss8ziFlENSxu8NMOHD3e1Jp9//nlXA1k1mOPajappWW3Te+2/r3WswbVUjlXDWedRZdUGes2vf/1r88QTT4Tdn2222cJ7vdHAXD6pjOg4VOP397//veumoVevXn62Uc3PAw880DWx13psQN01E1d5V/N/bV+1JZV0nPHxaZrWqXKzwQYb6KNLd9xxR/ib7d69u59c9tUG5s1uu+3mjlWDiMnXPrRwNXbVZP3ZZ591Nbe1EtXitoHqNs3i478N1frW+jRYmfZH51XnUjVoVSNUSV1fqFyREEAAAQQQQCAHAo0bm2XPEEAAAQQQQACB9gnY/gRDTa5BgwalruTII48MeWaccUZX8684o20KHfLMMMMMiW3em9imuMXZEjvCe8hnAzwF81W7NK41uuOOOyZ2IKTENtd2y2StAWqDOGE9qtGmGnFpyTZtDvuSVlPOBm/DfHurmuy6666JDbK1WZXWbwN2Lq9tPpzYZtsFeWxwNaynuEagzzi9a4DabgnCPqrmo8pFcbLBt5BH59g2c05sULk4W2L7Zw350o7XNjUP81XT0Qb/2qzj0EMPDXm0rVJls2fPniGfbYJdsJ5yNUBtcDwsZ5vTJ7a5fsGy+mC7Ikhsc/yQT2XABnQL8tnm32G+8touAtqcf7/AfvvtF/LKKC1pP/S3o23pb80G69tks0HFsB7bZ2eb+ZVqgNoAbVjeDjDWZnlNUDn3NbK1L/q7jZPtSzesQ+fH9tebeh71t2i7RQh5bbA0Xg3vEUAAAQQQQKABBagBau9+SAgggAACCCDQegI2wBEOWv0bqk/N4qQaoOq7UcnexxkbNDW2OXxxNtdPqJ+oWnxxUj+M6odUfSEqqRbeuuuu6/pn1GcNtPPPf/6zTW00zYuT+ii1gTfXD6X6d1RNvrSk/ixtE243y/f3GOeLj1s15VQLMZ7m82r9NhDnPqomnwZ/yVuKj6tfv37OvfgYVEvS97WqcyxjX4s2zqu+YH0qPseaHm/r5JNPDufAL6PXeB2qMVqqtqxq5PqUti0/r/hV/Xr6pDLiy5yfptdFF120oCZyPM+/97VZ9Vk1YC+55BIT1470+fSq2p3a1sCBA41tzh7PCu+1H77WpGq0PvXUU2FePd6oNqtqeCrZbiiMznVa0jnSufHpmmuu8W/da3wOVRbOP//81POomq66Zvj00ksv+be8IoAAAggggECDCszcoPvFbiGAAAIIIIAAAp0mYGtKltyWAoF+AJ84gBUv4IOkmqZmssVJwRI1/z3ppJNcAFRNctVkXUmD6mgAIg3SosFfbL+VRs324yCU8mmQnLgpuqalJQWqNBCNBoOpNKK4gr4a9KlU0oAvfnRuNRnPcyp3jnX+/PG19xx7G523OIDpp+s1LicKLqcF05UvDm6nlSflSUtxs/Y4QFec19ZCdk3R/UBhxfPjzyqbCpqWSgp8Zkl6EOBTpXLp82V9HTVqVMiqAcrKJVur0w00pSbtCsTq7893bxAHQLW/elBRKulvwydfdvxnXhFAAAEEEECg8QSoAdp454Q9QgABBBBAAIFOEIiDHeo7tFSK+0OMgx5x/jhPqT4bNXq2RvZWjTrbRLdgRHqtS7Us1bdo//79Xd+j48ePjzeR+l6B1Ml2lHmN1K0acFpGAUs/GrpqsRWn+LjtYDDFsws+x31DljquggUa7EN8rFnOsW2e7UYMTzuMSufYb0vBZwWz01K8jlJlScu119024XabVc3eSutff/3103axzTT1/VlNUjlRn6eqFWm7kDBPP/20sV0+uD5W/XrSyqWf155Xjd7uk++3138uftV50qj0StrXSZMmFWdxnyv9bcjYpzz+bfh95xUBBBBAAIFWEaAGaKucaY4TAQQQQAABBEoKxMGM4kw+sKXp5fIVL1fqs2qbqYlu3759zaWXXuqaW6sprh2J26gJs2rHKXik2pkaVKk4oKNgjwZrUq031fKsJZhUKlDn9z0+dj8tr6/lzp0/Tg1SpCBoWvJ50ubF07JsR/nL5YvXl/W9Bh3yNRHL1er161NAPktSQLdSUvcMGlxKXT0oEK/AfGcmDXbk0yKLLOLflnxdeOGFwzzbp294H7+p9LcR5+U9AggggAACCDS+AAHQxj9H7CECCCCAAAIINLGAmkyrybv+aQTtww8/3NhBaFzT3KOPPrpgJHcFTAcPHmwU7PJJASoFdFRrUAE81TJUjTuN/E1qHQH1JetTXIPUTyt+9c2+i6cXf45rrRbP02fVoFSTfwXjfdK67SBBrg9SXybtwEYFeXzeerwqAOtTlmOP83R2sNbvJ68IIIAAAggg0LkC6Y+4O3cf2BoCCCCAAAIIIICAFVDg6IorrjA9evRwHqNHj3aBUH146KGHzEEHHeSCnwpKnX766a45vZobT5gwwaj/Rw2mZEf0Luhr0q2I/5peIB6kKA6QlzrwOGBaKk+l6d99953RoFs++Ln11lu7Ju/qW1S1mNUlw6OPPmrGjh1r9tlnn0qra/f8+Ni1T5VSnKdSgLfSupiPAAIIIIAAAvkQIACaj/PEXiKAAAIIIIBATgVU8019e2ZNamr9i1/8wmX/4YcfzJQpU9x71Q71zd3PO+88c/zxx5ccwMj3AZp1m+TLv4BqNfpg3qefflrxgHy5qpixTIa///3vLtCpLOpTVOXcB++LF+vIMhkPJqXBjSqlOE+W7gIqrY/5CCCAAAIIIND4AgRAG/8csYcIIIAAAgggkFMB1XpbcsklXS25eKCWSocT187zQa0nn3zSLaY+Kvfaa6+Sq9AgS/UIbpXcADMaVkDNzpXUF2i5IKgC6Rosq9bky6TWs+eeexp151AqPfPMM6Vm1Tx9pZVWCutQzdNK6eWXX3ZZ9LBhxRVXrJSd+QgggAACCCDQBAIEQJvgJHIICCCAAAIIINCYAr4mp/Zu6NChoQZnub1V35133nmnyzLffPOZpZZayr3//PPP3asGZ5l99tlLruLyyy/PtJ2SK2BGbgXWWGONsO/qMqFUuueee0w8cFCpfJWm+zKpfOVqUqqJ/L333ltpde2e36tXr7CsBhMrlxQg9Q8Iunfvbuadd95y2ZmHAAIIIIAAAk0iQAC0SU4kh4EAAggggAAC/xOIR+z+8ssv/zejk9/ttNNOZpVVVnFbveOOO8zOO+9s1GdnqfTmm2+abbfd1kyePNll2W+//UKtOj9ytYJOpdahfkBPPfVUNxiSVqAm9HF/h26ldfqvUYzrdDhNsZqtttoqHMf5558f3sdvVH6GDBkST2r3e18mtYJXXnkldT0K6A8cOLBgXtoAXbWUp80339wsvvjibht33323ee655wq2F38466yzwsc99tgjvOcNAggggAACCDS3AAHQ5j6/HB0CCCCAAAItKdC1a9dw3Pfff7/54IMP3OfODoZqcJYRI0a4Udq1A7feequr0akaawcffHDYJ73faKONzHLLLWfGjBnjpq+33nrmpJNOcu/13yabbBLeH3bYYSYevVpBTo0QrxqnG2ywgdliiy1CXg1C0xFpgQUWCKtV7b5PPvnEfU4LboWMvOlQgV122SXUxFQ5OuCAA8xHH30UtqkAee/evV2AXYMX1ZriMql+aYubn6uJ/MYbb+wGRorLclqZjP9mb7755rBrWcqTRprXoGBKP/74o9l+++3Ns88+G9ahN+qD9OSTTzbXXnutm66/NfmQEEAAAQQQQKA1BAiAtsZ55igRQAABBBBoKYFll13WLLPMMu6Y33nnHaO+EVVbbe655+50h5/+9KduhPY+ffq4bStYqebJaqqupADPxRdfbB5++GFXY1OD2Rx++OEuEKrm7j4dc8wxbpR4fb7tttvcMW222WYucKpBYA488ECj1xtuuMFN88v169fP9O/f39x0001+Ul1e1XzYDz6j2n+LLLKI++xr4tVlI6ykKgGV76uuusr4UdEvu+wyV+51ThRgXHfddc2ECRNcnuWXX76qdadljoPtU6dONWqCr8C9amQqwLjOOuu44OeVV15Z0EeogpBbbrmlGTRoUFht3F3EiSeeaNT9g47ntNNOC3nKvVFtTv3dKKnJvQZjUhnt27ev2XTTTV359EHYRRdd1A3YVK4riXLbYh4CCCCAAAII5E+AAGj+zhl7jAACCCCAAAIVBNScVoEgBVGUvv/+e6PBgVQ7bHok9eOpfj0VKBw2bJgLBikoo6RglWps7r///m6fFbBVnjj4qXwrrLCCUf+GPnClkaxVy0+BUzVrVu0/1azr1q2bq12qQJSS8o0cOdK89tpr7nO9/lOtu6uvvjoEZRXYVW1DP1J9vbbDeqoTUMBP5ULBTiWdj3fffdfV0FWNzXHjxrmyEq81bn4eT8/yXsH4AQMGGK1Df2ePP/64GT16tHn99dfNqquuatTf6K677uqaqCuYqYGStE+jRo0KtZ21HeXZcccdwyY1kJPKdTX7pr8b1R7VQwclNYXX390DDzzgBoXS35S6lVDtUN81RdggbxBAAAEEEECgqQVmsDcgSVMfIQeHAAIIIIAAAi0rMG3aNDfatV41SIsCMr6p7RdffOFqXwpHA6EooJeWFIjx/WiWG+jFNzVWQNMHXtPW56epf07l1f74Zf28cq8K4o4fP94FU7VfqtmqYKc/Lr+sbvHUJFmjgau5ugKn2p6aAn/22WcumwJCxYFWv7xeFYDyTe11TFq+OGn9GlFcNVlVI3S11VYLx6/taHtK2geNYF/vpO0r8KZUfH6y7L+W8+tQsK3YUfN98udJZaV48BwFmmWuAN/888/vFyl41Tn3XQV06dIlBI8LMtkPMte+K80111xGeX365ptvjMqz0pxzzll2QKyPP/7YvP322y7v0ksvXbDP6nZBNY+VFLRUbU2fqtmGX+att95y5VLHp31WOdDfW3FSdxQKxuuYVFO7+G9l4sSJrmzLWLW4V155ZWeqcq/jUZp11lnNPPPMU7zqgs962PDCCy+4c6ta1XoI0bNnz7Je1WxD5V3XECXVVNU2SAgggAACCCDQuAIEQBv33LBnCCCAAAIIINDEAu0NgDYxCYfWiQJqpq6amkoaVEs1h0kIIIAAAggggECzCrR9jN+sR8pxIYAAAggggAACDSSg2pBqnqvabCQE6iGgmpXDhw83kyZNcn1g+oGBitetgKf6oVVSLUyCn8VCfEYAAQQQQACBZhOgBmiznVGOBwEEEEAAAQQQQKAlBdSUXwN+qWm2AuvqM9b3NetBvvzyS7PDDju4Pjg1Tf1yDh061M/mFQEEEEAAAQQQaEoBAqBNeVo5KAQQQAABBBBAoPEE1E/kGWecUZcd08A7xcG9uqw45ytRDVA/GrpqGffp08esv/76rq9XjY4+YsQIM2XKFHeUGiVdA2cxGnrOTzq7jwACCCCAAAIVBQiAViQiAwIIIIAAAggggEA9BJ566imz9tpr12NVRiN++0BfXVbYRCu58MILzXHHHRcG6Uk7NAVGr7nmmjYDR6XlZRoCCCCAAAIIIJB3AQKgeT+D7D8CCCCAAAIIIJATgalTp5obb7yxLnvbq1cv189lXVbWhCvRiOm33367eeKJJ9wgRxp0S6PTr7LKKmabbbYxa665ZhMeNYeEAAIIIIAAAgikCxAATXdhKgIIIIAAAggggAACCCCAAAIIIIAAAgg0gcCMTXAMHAICCCCAAAIIIIAAAggggAACCCCAAAIIIJAqQAA0lYWJCCCAAAIIIIAAAggggAACCCCAAAIIINAMAgRAm+EscgwIIIAAAggggAACCCCAAAIIIIAAAgggkCpAADSVhYkIIIAAAggggAACCCCAAAIIIIAAAggg0AwCBECb4SxyDAgggAACCCCAAAIIIIAAAggggAACCCCQKkAANJWFiQgggAACCCCAAAIIIIAAAggggAACCCDQDAIEQJvhLHIMCCCAAAIIIIAAAggggAACCCCAAAIIIJAqQAA0lYWJCCCAAAIIIIAAAggggAACCCCAAAIIINAMAgRAm+EscgwIIIAAAggggAACCCCAAAIIIIAAAgggkCpAADSVhYkIIIAAAggggAACCCCAAAIIIIAAAggg0AwCBECb4SxyDAgggAACCCCAAAIIIIAAAggggAACCCCQKkAANJWFiQgggAACCCCAAAIIIIAAAggggAACCCDQDAIEQJvhLHIMCCCAAAIIIIAAAggggAACCCCAAAIIIJAqQAA0lYWJCCCAAAIIIIAAAggggAACCCCAAAIIINAMAgRAm+EscgwIIIAAAggggAACCCCAAAIIIIAAAgggkCpAADSVhYkIIIAAAggggAACCCCAAAIIIIAAAggg0AwCBECb4SxyDAgggAACCCCAAAIIIIAAAggggAACCCCQKkAANJWFiQgggAACCCCAAAIIIIAAAggggAACCCDQDAIEQJvhLHIMCCCAAAIIIIAAAggggAACCCCAAAIIIJAqQAA0lYWJCCCAAAIIIIAAAggggAACCCCAAAIIINAMAgRAm+EscgwIIIAAAggggAACCCCAAAIIIIAAAgggkCpAADSVhYkIIIAAAggggAACCCCAAAIIIIAAAggg0AwCBECb4SxyDAgggAACCCCAAAIIIIAAAggggAACCCCQKkAANJWFiQgggAACCCCAAAIIIIAAAggggAACCCDQDAIEQJvhLHIMCCCAAAIIIIAAAggggAACCCCAAAIIIJAqQAA0lYWJCCCAAAIIIIAAAggggAACCCCAAAIIINAMAgRAm+EscgwIIIAAAggggAACCCCAAAIIIIAAAgggkCpAADSVhYkIIIAAAggggAACCCCAAAIIIIAAAggg0AwCBECb4SxyDAgggAACCCCAAAIIIIAAAggggAACCCCQKkAANJWFiQgggAACCCCAAAIIIIAAAggggAACCCDQDAIEQJvhLHIMCCCAAAIIIIAAAggggAACCCCAAAIIIJAqQAA0lYWJCCCAAAIIIIAAAggggAACCCCAAAIIINAMAgRAm+EscgwIIIAAAggggAACCCCAAAIIIIAAAgggkCpAADSVhYkIIIAAAggggAACCCCAAAIIIIAAAggg0AwCBECb4SxyDAgggAACCCCAAAIIIIAAAggggAACCCCQKkAANJWFiQgggAACCCCAAAIIIIAAAggggAACCCDQDAIEQJvhLHIMCCCAAAIIIIAAAggggAACCCCAAAIIIJAqQAA0lYWJCCCAAAIIIIAAAggggAACCCCAAAIIINAMAgRAm+EscgwIIIAAAggggAACCCCAAAIIIIAAAgggkCpAADSVhYkIIIAAAggggAACCCCAAAIIIIAAAggg0AwCBECb4SxyDAgggAACCCCAAAIIIIAAAggggAACCCCQKkAANJWFiQgggAACCCCAAAIIIIAAAggggAACCCDQDAL/B9niJI3G+gkKAAAAAElFTkSuQmCC" width="672" /></p>
<pre class="r"><code># scale consistency far-right attitudes
## alpha
psych::alpha(tm[,c(&quot;V12A&quot;, &quot;V12B&quot;, &quot;V12C&quot;, &quot;V12E&quot;)]) # Ethno: 0.83 = good</code></pre>
<pre><code>## 
## Reliability analysis   
## Call: psych::alpha(x = tm[, c(&quot;V12A&quot;, &quot;V12B&quot;, &quot;V12C&quot;, &quot;V12E&quot;)])
## 
##   raw_alpha std.alpha G6(smc) average_r S/N    ase mean   sd median_r
##       0.83      0.82    0.79      0.54 4.6 0.0064  2.3 0.82     0.52
## 
##     95% confidence boundaries 
##          lower alpha upper
## Feldt     0.81  0.83  0.84
## Duhachek  0.81  0.83  0.84
## 
##  Reliability if an item is dropped:
##      raw_alpha std.alpha G6(smc) average_r S/N alpha se  var.r med.r
## V12A      0.75      0.74    0.67      0.49 2.9   0.0098 0.0120  0.44
## V12B      0.75      0.75    0.67      0.50 3.0   0.0098 0.0089  0.44
## V12C      0.77      0.76    0.71      0.52 3.2   0.0091 0.0238  0.44
## V12E      0.84      0.84    0.78      0.64 5.3   0.0063 0.0023  0.62
## 
##  Item statistics 
##         n raw.r std.r r.cor r.drop mean   sd
## V12A 1734  0.85  0.85  0.80   0.73  2.3 0.95
## V12B 1729  0.86  0.84  0.79   0.72  2.5 1.12
## V12C 1721  0.83  0.82  0.74   0.68  2.5 1.04
## V12E 1594  0.68  0.71  0.54   0.50  1.6 0.82
## 
## Non missing response frequency for each item
##         1    2    3    4 miss
## V12A 0.22 0.33 0.34 0.11 0.05
## V12B 0.26 0.24 0.26 0.24 0.05
## V12C 0.21 0.27 0.32 0.20 0.05
## V12E 0.56 0.28 0.12 0.03 0.12</code></pre>
<pre class="r"><code>psych::alpha(tm[,c(&quot;V12D&quot;, &quot;V12F&quot;, &quot;V12G&quot;, &quot;V12H&quot;, &quot;V12I&quot;, &quot;V12J&quot;)]) # NSIdeo: 0.73 = acceptable</code></pre>
<pre><code>## 
## Reliability analysis   
## Call: psych::alpha(x = tm[, c(&quot;V12D&quot;, &quot;V12F&quot;, &quot;V12G&quot;, &quot;V12H&quot;, &quot;V12I&quot;, 
##     &quot;V12J&quot;)])
## 
##   raw_alpha std.alpha G6(smc) average_r S/N    ase mean   sd median_r
##       0.73      0.75    0.72      0.33 2.9 0.0097  1.4 0.52     0.34
## 
##     95% confidence boundaries 
##          lower alpha upper
## Feldt     0.71  0.73  0.75
## Duhachek  0.71  0.73  0.75
## 
##  Reliability if an item is dropped:
##      raw_alpha std.alpha G6(smc) average_r S/N alpha se  var.r med.r
## V12D      0.71      0.73    0.69      0.35 2.7    0.011 0.0028  0.35
## V12F      0.69      0.70    0.66      0.32 2.4    0.011 0.0035  0.33
## V12G      0.71      0.72    0.68      0.34 2.6    0.011 0.0043  0.34
## V12H      0.67      0.69    0.65      0.31 2.2    0.012 0.0037  0.29
## V12I      0.69      0.70    0.65      0.32 2.3    0.012 0.0025  0.32
## V12J      0.70      0.72    0.68      0.34 2.6    0.011 0.0048  0.35
## 
##  Item statistics 
##         n raw.r std.r r.cor r.drop mean   sd
## V12D 1748  0.62  0.61  0.48   0.41  1.4 0.73
## V12F 1676  0.68  0.68  0.59   0.49  1.4 0.74
## V12G 1736  0.69  0.64  0.53   0.45  1.4 0.89
## V12H 1662  0.72  0.72  0.65   0.55  1.4 0.74
## V12I 1665  0.67  0.70  0.62   0.51  1.3 0.62
## V12J 1738  0.64  0.63  0.51   0.44  1.6 0.78
## 
## Non missing response frequency for each item
##         1    2    3    4 miss
## V12D 0.74 0.16 0.08 0.03 0.04
## V12F 0.75 0.16 0.05 0.04 0.08
## V12G 0.77 0.08 0.08 0.06 0.04
## V12H 0.75 0.16 0.07 0.03 0.09
## V12I 0.80 0.15 0.04 0.02 0.08
## V12J 0.58 0.30 0.09 0.03 0.04</code></pre>
<pre class="r"><code>psych::alpha(tm[,c(&quot;V12A&quot;, &quot;V12B&quot;, &quot;V12C&quot;, &quot;V12D&quot;, &quot;V12E&quot;, &quot;V12F&quot;, &quot;V12G&quot;, &quot;V12H&quot;, &quot;V12I&quot;, &quot;V12J&quot;)]) # Far-rights full-scale: 0.85 = good</code></pre>
<pre><code>## 
## Reliability analysis   
## Call: psych::alpha(x = tm[, c(&quot;V12A&quot;, &quot;V12B&quot;, &quot;V12C&quot;, &quot;V12D&quot;, &quot;V12E&quot;, 
##     &quot;V12F&quot;, &quot;V12G&quot;, &quot;V12H&quot;, &quot;V12I&quot;, &quot;V12J&quot;)])
## 
##   raw_alpha std.alpha G6(smc) average_r S/N    ase mean   sd median_r
##       0.85      0.85    0.85      0.37 5.9 0.0049  1.8 0.59     0.35
## 
##     95% confidence boundaries 
##          lower alpha upper
## Feldt     0.84  0.85  0.86
## Duhachek  0.84  0.85  0.86
## 
##  Reliability if an item is dropped:
##      raw_alpha std.alpha G6(smc) average_r S/N alpha se  var.r med.r
## V12A      0.83      0.83    0.83      0.35 4.9   0.0059 0.0053  0.35
## V12B      0.83      0.83    0.83      0.36 5.0   0.0059 0.0052  0.35
## V12C      0.83      0.84    0.83      0.36 5.1   0.0058 0.0067  0.35
## V12D      0.85      0.85    0.85      0.39 5.8   0.0050 0.0078  0.37
## V12E      0.84      0.84    0.84      0.36 5.1   0.0055 0.0097  0.35
## V12F      0.84      0.84    0.84      0.37 5.3   0.0054 0.0098  0.35
## V12G      0.85      0.85    0.85      0.38 5.5   0.0051 0.0096  0.37
## V12H      0.84      0.84    0.84      0.37 5.2   0.0054 0.0104  0.34
## V12I      0.84      0.84    0.84      0.37 5.4   0.0053 0.0097  0.36
## V12J      0.85      0.85    0.85      0.38 5.6   0.0052 0.0095  0.37
## 
##  Item statistics 
##         n raw.r std.r r.cor r.drop mean   sd
## V12A 1734  0.77  0.74  0.73   0.69  2.3 0.95
## V12B 1729  0.76  0.72  0.71   0.67  2.5 1.12
## V12C 1721  0.74  0.71  0.69   0.65  2.5 1.04
## V12D 1748  0.52  0.54  0.45   0.41  1.4 0.73
## V12E 1594  0.68  0.69  0.65   0.59  1.6 0.82
## V12F 1676  0.64  0.66  0.60   0.54  1.4 0.74
## V12G 1736  0.61  0.60  0.53   0.48  1.4 0.89
## V12H 1662  0.66  0.68  0.63   0.56  1.4 0.74
## V12I 1665  0.60  0.64  0.58   0.51  1.3 0.62
## V12J 1738  0.57  0.59  0.51   0.47  1.6 0.78
## 
## Non missing response frequency for each item
##         1    2    3    4 miss
## V12A 0.22 0.33 0.34 0.11 0.05
## V12B 0.26 0.24 0.26 0.24 0.05
## V12C 0.21 0.27 0.32 0.20 0.05
## V12D 0.74 0.16 0.08 0.03 0.04
## V12E 0.56 0.28 0.12 0.03 0.12
## V12F 0.75 0.16 0.05 0.04 0.08
## V12G 0.77 0.08 0.08 0.06 0.04
## V12H 0.75 0.16 0.07 0.03 0.09
## V12I 0.80 0.15 0.04 0.02 0.08
## V12J 0.58 0.30 0.09 0.03 0.04</code></pre>
<pre class="r"><code>## corrplot
df_rex &lt;- tm %&gt;% 
  select(V12A, V12B, V12C, V12D, V12E, V12F, V12G, V12H, V12I, V12J)
ggcorr(df_rex,
       method=c(&quot;pairwise&quot;, &quot;spearman&quot;),
       label=T,
       label_round = 2)</code></pre>
<p><img role="img" src="data:image/png;base64,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" width="672" /></p>
<pre class="r"><code># check scale consistency and NAs political grievances
## Place-based resentment
# alpha
psych::alpha(tm[,c(&quot;RR1B&quot;, &quot;RR2B&quot;, &quot;RR4B&quot;)]) # 0.67 -&gt; just so acceptable</code></pre>
<pre><code>## 
## Reliability analysis   
## Call: psych::alpha(x = tm[, c(&quot;RR1B&quot;, &quot;RR2B&quot;, &quot;RR4B&quot;)])
## 
##   raw_alpha std.alpha G6(smc) average_r S/N   ase mean   sd median_r
##       0.67      0.67     0.6       0.4   2 0.014  2.9 0.72     0.31
## 
##     95% confidence boundaries 
##          lower alpha upper
## Feldt     0.64  0.67   0.7
## Duhachek  0.64  0.67   0.7
## 
##  Reliability if an item is dropped:
##      raw_alpha std.alpha G6(smc) average_r  S/N alpha se var.r med.r
## RR1B      0.48      0.47    0.31      0.31 0.89    0.024    NA  0.31
## RR2B      0.74      0.74    0.58      0.58 2.81    0.012    NA  0.58
## RR4B      0.48      0.47    0.31      0.31 0.90    0.024    NA  0.31
## 
##  Item statistics 
##         n raw.r std.r r.cor r.drop mean   sd
## RR1B 1601  0.81  0.81  0.70   0.55  3.1 0.86
## RR2B 1553  0.72  0.70  0.41   0.35  2.4 0.91
## RR4B 1691  0.82  0.81  0.70   0.55  3.1 0.89
## 
## Non missing response frequency for each item
##         1    2    3    4 miss
## RR1B 0.05 0.17 0.38 0.41 0.12
## RR2B 0.17 0.37 0.35 0.12 0.15
## RR4B 0.06 0.18 0.37 0.39 0.07</code></pre>
<pre class="r"><code># corrplot
df_RR &lt;- tm %&gt;% 
  select(RR1B, RR2B, RR4B)
ggcorr(df_RR,
       method=c(&quot;pairwise&quot;, &quot;spearman&quot;),
       label = T,
       label_round = 2)</code></pre>
<p><img role="img" 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width="672" /></p>
<pre class="r"><code># NAs
colSums(is.na(tm[,c(&quot;RR1B&quot;, &quot;RR2B&quot;, &quot;RR4B&quot;)]))</code></pre>
<pre><code>## RR1B RR2B RR4B 
##  216  264  126</code></pre>
<pre class="r"><code>## Political trust
psych::alpha(tm[,c(&quot;V09A&quot;, &quot;V09B&quot;, &quot;V09BT&quot;)]) # good: 0.85</code></pre>
<pre><code>## 
## Reliability analysis   
## Call: psych::alpha(x = tm[, c(&quot;V09A&quot;, &quot;V09B&quot;, &quot;V09BT&quot;)])
## 
##   raw_alpha std.alpha G6(smc) average_r S/N    ase mean sd median_r
##       0.85      0.85     0.8      0.65 5.6 0.0061  2.8  1      0.6
## 
##     95% confidence boundaries 
##          lower alpha upper
## Feldt     0.84  0.85  0.86
## Duhachek  0.84  0.85  0.86
## 
##  Reliability if an item is dropped:
##       raw_alpha std.alpha G6(smc) average_r S/N alpha se var.r med.r
## V09A       0.76      0.75    0.60      0.60 3.0   0.0114    NA  0.60
## V09B       0.86      0.86    0.75      0.75 6.1   0.0065    NA  0.75
## V09BT      0.75      0.74    0.59      0.59 2.9   0.0119    NA  0.59
## 
##  Item statistics 
##          n raw.r std.r r.cor r.drop mean  sd
## V09A  1797  0.90  0.89  0.83   0.75  2.5 1.2
## V09B  1747  0.83  0.84  0.68   0.64  3.1 1.1
## V09BT 1765  0.90  0.90  0.84   0.77  2.9 1.1
## 
## Non missing response frequency for each item
##          1    2    3    4    5 miss
## V09A  0.25 0.24 0.28 0.20 0.03 0.01
## V09B  0.11 0.17 0.32 0.32 0.08 0.04
## V09BT 0.14 0.23 0.30 0.27 0.06 0.03</code></pre>
</div>
<div id="session-info" class="section level1">
<h1>Session Info</h1>
<ul>
<li>R version 4.5.0 (2025-04-11)</li>
<li>Platform: aarch64-apple-darwin20</li>
<li>Running under: macOS Sequoia 15.6.1</li>
</ul>
<pre class="r"><code>sessionInfo()</code></pre>
<pre><code>## R version 4.5.0 (2025-04-11)
## Platform: aarch64-apple-darwin20
## Running under: macOS Sequoia 15.6.1
## 
## Matrix products: default
## BLAS:   /Library/Frameworks/R.framework/Versions/4.5-arm64/Resources/lib/libRblas.0.dylib 
## LAPACK: /Library/Frameworks/R.framework/Versions/4.5-arm64/Resources/lib/libRlapack.dylib;  LAPACK version 3.12.1
## 
## locale:
## [1] en_US.UTF-8/en_US.UTF-8/en_US.UTF-8/C/en_US.UTF-8/en_US.UTF-8
## 
## time zone: Europe/Berlin
## tzcode source: internal
## 
## attached base packages:
## [1] grid      stats     graphics  grDevices utils     datasets  methods  
## [8] base     
## 
## other attached packages:
##  [1] modelsummary_2.3.0 kableExtra_1.4.0   knitr_1.50         GGally_2.2.1      
##  [5] cowplot_1.1.3      showtext_0.9-7     showtextdb_3.0     sysfonts_0.8.9    
##  [9] effects_4.2-2      ggeffects_2.2.1    lubridate_1.9.4    forcats_1.0.0     
## [13] stringr_1.5.1      dplyr_1.1.4        purrr_1.0.4        readr_2.1.5       
## [17] tidyr_1.3.1        tibble_3.2.1       ggplot2_3.5.2      tidyverse_2.0.0   
## [21] jtools_2.3.0       wdm_0.2.6          psych_2.5.3        DescTools_0.99.60 
## [25] survey_4.4-2       survival_3.8-3     Matrix_1.7-3       questionr_0.8.0   
## [29] car_3.1-3          carData_3.0-5      haven_2.5.4       
## 
## loaded via a namespace (and not attached):
##   [1] splines_4.5.0       later_1.4.2         cellranger_1.1.0   
##   [4] datawizard_1.1.0    rpart_4.1.24        lifecycle_1.0.4    
##   [7] Rdpack_2.6.4        globals_0.18.0      lattice_0.22-7     
##  [10] MASS_7.3-65         insight_1.2.0       backports_1.5.0    
##  [13] magrittr_2.0.3      Hmisc_5.2-3         sass_0.4.10        
##  [16] rmarkdown_2.29      jquerylib_0.1.4     yaml_2.3.10        
##  [19] httpuv_1.6.16       gld_2.6.7           DBI_1.2.3          
##  [22] minqa_1.2.8         RColorBrewer_1.1-3  abind_1.4-8        
##  [25] expm_1.0-0          nnet_7.3-20         labelled_2.14.1    
##  [28] listenv_0.9.1       gdata_3.0.1         performance_0.13.0 
##  [31] parallelly_1.44.0   svglite_2.2.1       codetools_0.2-20   
##  [34] xml2_1.3.8          tidyselect_1.2.1    shape_1.4.6.1      
##  [37] farver_2.1.2        lme4_1.1-37         broom.mixed_0.2.9.6
##  [40] effectsize_1.0.0    base64enc_0.1-3     jsonlite_2.0.0     
##  [43] e1071_1.7-16        mitml_0.4-5         Formula_1.2-5      
##  [46] iterators_1.0.14    emmeans_1.11.1      systemfonts_1.2.3  
##  [49] foreach_1.5.2       tools_4.5.0         Rcpp_1.0.14        
##  [52] glue_1.8.0          mnormt_2.1.1        gridExtra_2.3      
##  [55] pan_1.9             xfun_0.52           withr_3.0.2        
##  [58] fastmap_1.2.0       mitools_2.4         boot_1.3-31        
##  [61] digest_0.6.37       timechange_0.3.0    R6_2.6.1           
##  [64] mime_0.13           estimability_1.5.1  mice_3.17.0        
##  [67] textshaping_1.0.1   colorspace_2.1-1    gtools_3.9.5       
##  [70] weights_1.0.4       utf8_1.2.5          generics_0.1.4     
##  [73] data.table_1.17.2   class_7.3-23        httr_1.4.7         
##  [76] htmlwidgets_1.6.4   parameters_0.25.0   ggstats_0.9.0      
##  [79] pkgconfig_2.0.3     gtable_0.3.6        Exact_3.3          
##  [82] lmtest_0.9-40       furrr_0.3.1         htmltools_0.5.8.1  
##  [85] scales_1.4.0        lmom_3.2            reformulas_0.4.1   
##  [88] rstudioapi_0.17.1   tzdb_0.5.0          coda_0.19-4.1      
##  [91] checkmate_2.3.2     nlme_3.1-168        curl_6.2.2         
##  [94] nloptr_2.2.1        zoo_1.8-14          proxy_0.4-27       
##  [97] cachem_1.1.0        rootSolve_1.8.2.4   parallel_4.5.0     
## [100] miniUI_0.1.2        foreign_0.8-90      pillar_1.10.2      
## [103] vctrs_0.6.5         promises_1.3.2      jomo_2.7-6         
## [106] xtable_1.8-4        cluster_2.1.8.1     htmlTable_2.4.3    
## [109] evaluate_1.0.3      mvtnorm_1.3-3       cli_3.6.5          
## [112] compiler_4.5.0      rlang_1.1.6         crayon_1.5.3       
## [115] labeling_0.4.3      plyr_1.8.9          fs_1.6.6           
## [118] stringi_1.8.7       pander_0.6.6        viridisLite_0.4.2  
## [121] tables_0.9.31       glmnet_4.1-8        bayestestR_0.15.3  
## [124] hms_1.1.3           future_1.49.0       shiny_1.10.0       
## [127] highr_0.11          rbibutils_2.3       broom_1.0.8        
## [130] bslib_0.9.0         readxl_1.4.5</code></pre>
</div>



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